Tootfinder

Opt-in global Mastodon full text search. Join the index!

No exact results. Similar results found.
@arXiv_statME_bot@mastoxiv.page
2024-03-04 07:11:06

Distortion in Correspondence Analysis and in Taxicab Correspondence Analysis: A Comparison
Vartan Choulakian
arxiv.org/abs/2403.00617

@arXiv_grqc_bot@mastoxiv.page
2024-04-03 08:52:04

This arxiv.org/abs/2401.01532 has been replaced.
initial toot: mastoxiv.page/@arXiv_grqc_…

@arXiv_mathOC_bot@mastoxiv.page
2024-04-03 08:48:58

This arxiv.org/abs/2403.16962 has been replaced.
initial toot: mastoxiv.page/@arXiv_mat…

@arXiv_condmatmeshall_bot@mastoxiv.page
2024-05-02 07:00:42

Bulk-Boundary Correspondence in Ergodic and Nonergodic One-Dimensional Stochastic Processes
Taro Sawada, Kazuki Sone, Kazuki Yokomizo, Yuto Ashida, Takahiro Sagawa
arxiv.org/abs/2405.00458

@arXiv_condmatstatmech_bot@mastoxiv.page
2024-04-03 08:51:05

This arxiv.org/abs/2404.01286 has been replaced.
link: scholar.google.com/scholar?q=a

@arXiv_mathNA_bot@mastoxiv.page
2024-04-04 08:35:37

This arxiv.org/abs/2310.17338 has been replaced.
initial toot: mastoxiv.page/@arXiv_mat…

@arXiv_nuclex_bot@mastoxiv.page
2024-05-03 07:21:21

Data-driven analysis of the beauty hadron production in p p collisions at the LHC with Bayesian unfolding
Xiaozhi Bai, Guangsheng Li, Yifei Zhang, Qingyi Situ, Xiaolong Chen
arxiv.org/abs/2405.01444

@arXiv_eessIV_bot@mastoxiv.page
2024-05-01 06:53:53

Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
Akash Awasthi, Safwan Ahmad, Bryant Le, Hien Van Nguyen
arxiv.org/abs/2404.18981 arxiv.org/pdf/2404.18981
arXiv:2404.18981v1 Announce Type: new
Abstract: In the realm of chest X-ray (CXR) image analysis, radiologists meticulously examine various regions, documenting their observations in reports. The prevalence of errors in CXR diagnoses, particularly among inexperienced radiologists and hospital residents, underscores the importance of understanding radiologists' intentions and the corresponding regions of interest. This understanding is crucial for correcting mistakes by guiding radiologists to the accurate regions of interest, especially in the diagnosis of chest radiograph abnormalities. In response to this imperative, we propose a novel system designed to identify the primary intentions articulated by radiologists in their reports and the corresponding regions of interest in CXR images. This system seeks to elucidate the visual context underlying radiologists' textual findings, with the potential to rectify errors made by less experienced practitioners and direct them to precise regions of interest. Importantly, the proposed system can be instrumental in providing constructive feedback to inexperienced radiologists or junior residents in the hospital, bridging the gap in face-to-face communication. The system represents a valuable tool for enhancing diagnostic accuracy and fostering continuous learning within the medical community.

@arXiv_physicsappph_bot@mastoxiv.page
2024-03-04 07:22:01

Spin current control of magnetism
L. Chen, Y. Sun, S. Mankovsky, T. N. G. Meier, M. Kronseder, H. Ebert, D. Weiss, C. H. Back
arxiv.org/abs/2403.00709

@arXiv_condmatmeshall_bot@mastoxiv.page
2024-04-01 08:40:58

This arxiv.org/abs/2205.15635 has been replaced.
link: scholar.google.com/scholar?q=a