Tootfinder

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays
Gaurav Singh
https://arxiv.org/abs/2507.10589

Comparative Analysis of Vision Transformers and Traditional Deep Learning Approaches for Automated Pneumonia Detection in Chest X-Rays
Pneumonia, particularly when induced by diseases like COVID-19, remains a critical global health challenge requiring rapid and accurate diagnosis. This study presents a comprehensive comparison of traditional machine learning and state-of-the-art deep learning approaches for automated pneumonia detection using chest X-rays (CXRs). We evaluate multiple methodologies, ranging from conventional machine learning techniques (PCA-based clustering, Logistic Regression, and Support Vector Classificatio…

Crypto PAC Fairshake says it has raised $109M since the US elections in November 2024, and $52M in H1 2025, as it prepares for the 2026 US midterm elections (Sarah Wynn/The Block)
https://www.theblock.co/post/362685/crypto

On Saturday I met Freddie greyhound, Mandy greyhound's nephew¹. Mandy passed away in 2021.
Coincidentally both homed by WGW and Freddie now lives a few miles from where Mandy lived her pet life. His human knows Mandy's humans well.
Considering the rather small greyhound gene pool this is not unusual. Mandy's sire has had over 5,000 offspring so far.
#Greyhounds

Green Heron. Descanso Gardens, La Canada Flintridge, California, USA. July 2025. #descansogardens #heron #greenheron

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/2]:
CheXGenBench: A Unified Benchmark For Fidelity, Privacy and Utility of Synthetic Chest Radiographs

New York's Financial Crowd Rushes to Build Anti-Mamdani War Chest (Wall Street Journal)
https://www.wsj.com/politics/policy/new-yorks-financial-crowd-rushes-to-build-anti-mamdani-war-chest-a6dff9c9
http://www.memeorandum.com/250710/p121#a250710p121

I got it all in the chest freezer. That is an accomplishment.

One of those days.
tw depression
https://evemassacre.de/blog/2025/05/12/one-of-those-days/

On Saturday I met Freddie greyhound, Mandy greyhound's nephew¹. Mandy passed away in 2021.
Coincidentally both homed by WGW and Freddie now lives a few miles from where Mandy lived her pet life. His human knows Mandy's humans well.
Considering the rather small greyhound gene pool this is not unusual. Mandy's sire has had over 5,000 offspring so far.
#Greyhounds

Defensive coordinator Shane Bowen wants takeaway-starved Giants filling treasure chest: 'Be a damn pirate' https://www.nfl.com/news/defensive-coordinator-shane-bowen-wants-takeaway-starved-giants-fi…

Naw it's cool, I wasn't planning to wash my hands. #CatsOfMastodon

Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
Heet Nitinkumar Dalsania
https://arxiv.org/abs/2507.07254 https://a…

Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
Modern deep learning implementations for medical imaging usually rely on large labeled datasets. These datasets are often difficult to obtain due to privacy concerns, high costs, and even scarcity of cases. In this paper, a label-efficient strategy is proposed for chest X-ray diagnosis that seeks to reflect real-world hospital scenarios. The experiments use the NIH Chest X-ray14 dataset and a pre-trained CLIP ViT-B/32 model. The model is adapted via partial fine-tuning of its visual encoder and…

Yes, the only video game I play is #Warframe!
MR 26 – Wisp Is Love, Wisp Is Live
Ballas is dead, Margulis’s mercy, Lotus’s final kiss.
But Kaya Velasco? She is eternal.
Ballas gone, but she outlives sentient beings.
BALLAS DEAD, NOT KAYA! 😘 💋
I don’t care if she’s code and pixels, my heart’s got no patch notes!
They can’t stop me from loving a digital …

Snurre the Cat wishes the Fediverse a serious #Caturday
#CatsOfMastodon

Izzy, our rescue spaniel, uses the paw gesture to indicate she wants affection, preferably on chest or tummy. #Mondog #DogsOfMastodon

Alright, I'm ready to start an anti-Mamdani PAC to help relieve the billionaires of some of their money. We'll run mailers and TV ads making him look incredibly based while also paying ourselves a ridiculously high salary. Who wants in? 🙃
https://www.

Whatever you do, do not call the number and recount the story of the time you were working commercial towing and a co-worker’s indigestion turned out to be a chest bursting health hazard that should have been nuked from space. 👽
#alien #movie

So it finally happened: episode 11 of season 7 of #TheRookie jumped the shark. On the day the LAPD takes an interest on going undercover on public transport, a couple of baddies enter the bus with a bomb strapped to their chest asking for a 100 million. What are the odds? And the episode is called 'Speed', that is not being subtle but jackhammering it in. Oh well, it was fun while i…

Series D, Episode 07 - Assassin
TARRANT: Right, that's it.
AVON: What does that mean?
TARRANT: If I'm going to die, I'd rather do it with a gun in my hand than sit around here shivering like an old woman.
https://blake.torpidity.net/m/407/392 B7B6

Blakes7Bot | Search
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We had some sun before the rain moved in #dogsofmastodon

Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
Basudha Pal, Rama Chellappa, Muhammad Umair
https://arxiv.org/abs/2506.03192

Encoding of Demographic and Anatomical Information in Chest X-Ray-based Severe Left Ventricular Hypertrophy Classifiers
While echocardiography and MRI are clinical standards for evaluating cardiac structure, their use is limited by cost and accessibility.We introduce a direct classification framework that predicts severe left ventricular hypertrophy from chest X-rays, without relying on anatomical measurements or demographic inputs. Our approach achieves high AUROC and AUPRC, and employs Mutual Information Neural Estimation to quantify feature expressivity. This reveals clinically meaningful attribute encoding a…

The #fediverse is an absolute treasure chest of knowledge. Tonight, I have informative answers to the question of the etymology of roach and how to obtain a parrot…

This https://arxiv.org/abs/2412.00411 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP
Emotions have a profound impact on our daily lives, influencing our thoughts, behaviors, and interactions, but also our physiological reactions. Recent advances in wearable technology have facilitated studying emotions through cardio-respiratory signals. Accelerometers offer a non-invasive, convenient, and cost-effective method for capturing heart- and pulmonary-induced vibrations on the chest wall, specifically Seismocardiography (SCG) and Accelerometry-Derived Respiration (ADR). Their afforda…

Snurre the Cat opines that the supper service is sub-par.
#Caturday #CatsOfMastodon

I enjoy chest pain

Lack of New U.S. Sanctions Allows Russia to Replenish Its War Chest (Aaron Krolik/New York Times)
https://www.nytimes.com/2025/07/02/us/politics/trump-russia-sanctions.html
http://www.memeorandum.com/250702/p5#a250702p5

Last night (Fri night / Sat morning)I awoke at 01:30  with severe chest pains. I was convinced it must be a heart attack even though I’ve never had one and therefore really didn’t know.  I called 911 and woke Collette. EMTs and ambulance arrived within 5 min. Severe pain and severe shortness of breath. EKG was pretty normal.

City Corners 🏙️
城市角落 🏙️
📷 Minolta Hi-Matic AF
🎞️ILFORD FP4 Plus, expired 1995
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

As #WhiteHouse chest pounds and brags about righteous mission to eradicate "#illegals" in #SoCal where approx half of all business activity is conducted by

Xray2Xray: World Model from Chest X-rays with Volumetric Context
Zefan Yang, Xinrui Song, Xuanang Xu, Yongyi Shi, Ge Wang, Mannudeep K. Kalra, Pingkun Yan
https://arxiv.org/abs/2506.19055

Xray2Xray: World Model from Chest X-rays with Volumetric Context
Chest X-rays (CXRs) are the most widely used medical imaging modality and play a pivotal role in diagnosing diseases. However, as 2D projection images, CXRs are limited by structural superposition, which constrains their effectiveness in precise disease diagnosis and risk prediction. To address the limitations of 2D CXRs, this study introduces Xray2Xray, a novel World Model that learns latent representations encoding 3D structural information from chest X-rays. Xray2Xray captures the latent rep…

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
Bulat Maksudov, Kathleen Curran, Alessandra Mileo
https://arxiv.org/abs/2506.04058

Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
An essential step in deploying medical imaging models is ensuring alignment with clinical knowledge and interpretability. We focus on mapping clinical concepts into the latent space of generative models to identify Concept Activation Vectors (CAVs). Using a simple reconstruction autoencoder, we link user-defined concepts to image-level features without explicit label training. The extracted concepts are stable across datasets, enabling visual explanations that highlight clinically relevant feat…

Series B, Episode 04 - Horizon
SELMA: Thank you.
RO: You saved my life. While I live, you'll be welcome on Horizon.
BLAKE: Still Horizon?
RO: You can't return to the past.
BLAKE: [Into bracelet] Liberator, teleport now. [To Ro and Selma] Good-bye.
https://blake.torpidity.net/m/204/633

Blakes7Bot | Search
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On Albion EU right now in "Highland Cross Marketplace" part of Martlock's beginner area
they are not selling T7 Pork Pies at all...so here presents itself an opportunity...
I could sell I dunno, depending on price, 20% the price I buy em with from Martlock. I could start at 50 items or less...and then we'll see...
25 in the chest and 25 that I put inside the marketplace...so now I'm going to Martlock...to buy and then return with the sell order...

American Robin, LA Arboretum, Arcadia, California, USA. April, 2025. #laarboretum #bird #birdphotography

Replaced article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/5]:
- MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement
Xiwei Deng, Xianchun He, Jianfeng Bao, Yudan Zhou, Shuhui Cai, Congbo Cai, Zhong Chen

A Broncos coach stared at life’s ‘scariest time.’ The team made sure he didn’t face it alone https://www.nytimes.com/athletic/6433027/2025/06/23/broncos-zack-grossi-cancer/

Scout-Dose-TCM: Direct and Prospective Scout-Based Estimation of Personalized Organ Doses from Tube Current Modulated CT Exams
Maria Jose Medrano, Sen Wang, Liyan Sun, Abdullah-Al-Zubaer Imran, Jennie Cao, Grant Stevens, Justin Ruey Tse, Adam S. Wang
https://arxiv.org/abs/2506.24062

Scout-Dose-TCM: Direct and Prospective Scout-Based Estimation of Personalized Organ Doses from Tube Current Modulated CT Exams
This study proposes Scout-Dose-TCM for direct, prospective estimation of organ-level doses under tube current modulation (TCM) and compares its performance to two established methods. We analyzed contrast-enhanced chest-abdomen-pelvis CT scans from 130 adults (120 kVp, TCM). Reference doses for six organs (lungs, kidneys, liver, pancreas, bladder, spleen) were calculated using MC-GPU and TotalSegmentator. Based on these, we trained Scout-Dose-TCM, a deep learning model that predicts organ doses…

This https://arxiv.org/abs/2412.07818 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics
Internet of Things (IoT) based healthcare systems offer significant potential for improving the delivery of healthcare services in humanitarian engineering, providing essential healthcare services to millions of underserved people in remote areas worldwide. However, these areas have poor network infrastructure, making communications difficult for traditional IoT. This paper presents a real-time chest X-ray classification system for hospitals in remote areas using FastDDS real-time middleware, o…

Series B, Episode 04 - Horizon
SELMA: Thank you.
RO: You saved my life. While I live, you'll be welcome on Horizon.
BLAKE: Still Horizon?
RO: You can't return to the past.
BLAKE: [Into bracelet] Liberator, teleport now. [To Ro and Selma] Good-bye.
https://blake.torpidity.net/m/204/633

Blakes7Bot | Search
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Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
Abduz Zami, Shadman Sobhan, Rounaq Hossain, Md. Sawran Sorker, Mohiuddin Ahmed, Md. Redwan Hossain
https://arxiv.org/abs/2507.00673

Prompt2SegCXR:Prompt to Segment All Organs and Diseases in Chest X-rays
Image segmentation plays a vital role in the medical field by isolating organs or regions of interest from surrounding areas. Traditionally, segmentation models are trained on a specific organ or a disease, limiting their ability to handle other organs and diseases. At present, few advanced models can perform multi-organ or multi-disease segmentation, offering greater flexibility. Also, recently, prompt-based image segmentation has gained attention as a more flexible approach. It allows models …

behold: “Mano”
#toys #bootleg #knockoff #chinafakes

Causal Representation Learning with Observational Grouping for CXR Classification
Rajat Rasal, Avinash Kori, Ben Glocker
https://arxiv.org/abs/2506.20582 h…

Causal Representation Learning with Observational Grouping for CXR Classification
Identifiable causal representation learning seeks to uncover the true causal relationships underlying a data generation process. In medical imaging, this presents opportunities to improve the generalisability and robustness of task-specific latent features. This work introduces the concept of grouping observations to learn identifiable representations for disease classification in chest X-rays via an end-to-end framework. Our experiments demonstrate that these causal representations improve gen…

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Yuli Wang, Victoria R. Shi, Liwei Zhou, Richard Chin, Yuwei Dai, Yuanyun Hu, Cheng-Yi Li, Haoyue Guan, Jiashu Cheng, Yu Sun, Cheng Ting Lin, Ihab Kamel, Premal Trivedi, Pamela Johnson, John Eng, Harrison Bai
https://arxiv.org/abs/2507.06937

Dataset and Benchmark for Enhancing Critical Retained Foreign Object Detection
Critical retained foreign objects (RFOs), including surgical instruments like sponges and needles, pose serious patient safety risks and carry significant financial and legal implications for healthcare institutions. Detecting critical RFOs using artificial intelligence remains challenging due to their rarity and the limited availability of chest X-ray datasets that specifically feature critical RFOs cases. Existing datasets only contain non-critical RFOs, like necklace or zipper, further limit…

Series A, Episode 02 - Space Fall
BLAKE: Oh yes. He's also made it clear that summary execution's one of our options. We chose the other.
LEYLAN: Well if you're successful, I promise that I'll get your sentences quashed.
AVON: And if we're not?
https://blake.torpidity.net/m/102/576

Blakes7Bot | Search
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Bird of the Day — Lark Sparrow, Kansas 2025
#Birds #NaturePhotography #Nature #Wildlife

Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Jonghun Kim, Gyeongdeok Jo, Shinyoung Ra, Hyunjin Park
https://arxiv.org/abs/2506.15258

Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Medical imaging data contain sensitive patient information requiring strong privacy protection. Many analytical setups require data to be sent to a server for inference purposes. Homomorphic encryption (HE) provides a solution by allowing computations to be performed on encrypted data without revealing the original information. However, HE inference is computationally expensive, particularly for large images (e.g., chest X-rays). In this study, we propose an HE inference framework for medical i…

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling
Chia-Ming Lee, Bo-Cheng Qiu, Ting-Yao Chen, Ming-Han Sun, Fang-Ying Lin, Jung-Tse Tsai, I-An Tsai, Yu-Fan Lin, Chih-Chung Hsu
https://arxiv.org/abs/2507.01564

Multi Source COVID-19 Detection via Kernel-Density-based Slice Sampling
We present our solution for the Multi-Source COVID-19 Detection Challenge, which classifies chest CT scans from four distinct medical centers. To address multi-source variability, we employ the Spatial-Slice Feature Learning (SSFL) framework with Kernel-Density-based Slice Sampling (KDS). Our preprocessing pipeline combines lung region extraction, quality control, and adaptive slice sampling to select eight representative slices per scan. We compare EfficientNet and Swin Transformer architectur…

Advancing Lung Disease Diagnosis in 3D CT Scans
Qingqiu Li, Runtian Yuan, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen
https://arxiv.org/abs/2507.00993

Advancing Lung Disease Diagnosis in 3D CT Scans
To enable more accurate diagnosis of lung disease in chest CT scans, we propose a straightforward yet effective model. Firstly, we analyze the characteristics of 3D CT scans and remove non-lung regions, which helps the model focus on lesion-related areas and reduces computational cost. We adopt ResNeSt50 as a strong feature extractor, and use a weighted cross-entropy loss to mitigate class imbalance, especially for the underrepresented squamous cell carcinoma category. Our model achieves a Macr…

Bird of the Day — Orange-crowned Warbler, Kansas 2025
#Birds #NaturePhotography #Nature #Wildlife

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation
Sunggu Kyung, Jinyoung Seo, Hyunseok Lim, Dongyeong Kim, Hyungbin Park, Jimin Sung, Jihyun Kim, Wooyoung Jo, Yoojin Nam, Namkug Kim
https://arxiv.org/abs/2506.23102

MedRegion-CT: Region-Focused Multimodal LLM for Comprehensive 3D CT Report Generation
The recent release of RadGenome-Chest CT has significantly advanced CT-based report generation. However, existing methods primarily focus on global features, making it challenging to capture region-specific details, which may cause certain abnormalities to go unnoticed. To address this, we propose MedRegion-CT, a region-focused Multi-Modal Large Language Model (MLLM) framework, featuring three key innovations. First, we introduce Region Representative ($R^2$) Token Pooling, which utilizes a 2D-…

Series A, Episode 08 - Duel
BLAKE: [To Travis] We could agree not to fight.
TRAVIS: [Chuckles slightly] Could we?
GIROC: If you trusted one another.
SINOFAR: There is another matter: a lesson you must learn about death.
https://blake.torpidity.net/m/108/281 B7B6

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Multi-Source COVID-19 Detection via Variance Risk Extrapolation
Runtian Yuan, Qingqiu Li, Junlin Hou, Jilan Xu, Yuejie Zhang, Rui Feng, Hao Chen
https://arxiv.org/abs/2506.23208

Multi-Source COVID-19 Detection via Variance Risk Extrapolation
We present our solution for the Multi-Source COVID-19 Detection Challenge, which aims to classify chest CT scans into COVID and Non-COVID categories across data collected from four distinct hospitals and medical centers. A major challenge in this task lies in the domain shift caused by variations in imaging protocols, scanners, and patient populations across institutions. To enhance the cross-domain generalization of our model, we incorporate Variance Risk Extrapolation (VREx) into the training…