医学 AI - arXivDaily 专题

2012.09976 2020-12-21 cs.LG 83%

Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods

Goce Ristanoski, Jon Emery, Javiera Martinez-Gutierrez, Damien Mccarthy, Uwe Aickelin

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments 14th Australasian Conference on Health Informatics and Knowledge Management HIKM 2021

2012.07819 2020-12-15 eess.IV 83%

Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine

Dimitrios Karkalousos, Kai Lønning, Hanneke E. Hulst, Serge O. Dumoulin, Jan-Jakob Sonke, Frans M. Vos, Matthan W. A. Caan

专题命中病理影像：pathology(title,abstract)；MRI(abstract)；分类 eess.IV

Comments 20 pages, 8 figures

2012.04878 2020-12-10 stat.AP cs.CV 83%

Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images

Esteban Fernández Morales, Cong Zhang, Guanghua Xiao, Chul Moon, Qiwei Li

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

1911.01226 2019-11-13 cs.CL cs.CY cs.LG stat.ML 83%

Human-centric Metric for Accelerating Pathology Reports Annotation

Ruibin Ma, Po-Hsuan Cameron Chen, Gang Li, Wei-Hung Weng, Angela Lin, Krishna Gadepalli, Yuannan Cai

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract

1904.09075 2019-04-22 cs.CV 83%

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

Md Zahangir Alom, Theus Aspiras, Tarek M. Taha, Vijayan K. Asari, TJ Bowen, Dave Billiter, Simon Arkell

专题命中病理影像：pathology(title,abstract)；medical image(abstract)；分类 cs.CV

Comments 25 pages, 28 figures, 9 tables

1903.07406 2019-03-19 cs.CL cs.LG stat.ML 83%

Automatic Classification of Pathology Reports using TF-IDF Features

Shivam Kalra, Larry Li, Hamid R. Tizhoosh

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.LG

1801.03230 2019-01-21 cs.CV cs.AI cs.LG q-bio.QM q-bio.TO 83%

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci

专题命中病理影像：MRI(abstract)；CT(abstract)；diagnosis(abstract)；radiology(abstract)

Comments Accepted for publication in IEEE Transactions on Medical Imaging 2019

1805.06983 2018-10-01 cs.CV 83%

Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology

Gabriele Campanella, Vitor Werneck Krauss Silva, Thomas J. Fuchs

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

1712.01636 2018-02-13 cs.CV cs.NE 83%

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks

Hojjat Salehinejad, Shahrokh Valaee, Tim Dowdell, Errol Colak, Joseph Barfett

专题命中病理影像：pathology(title,abstract)；medical image(abstract)；分类 cs.CV

Comments This paper is accepted for presentation at IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP), 2018

1708.08012 2018-01-15 cs.LG cs.NE stat.ML 83%

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.LG

Comments Published at IEEE SPMB 2017 https://www.ieeespmb.org/2017/

1705.02678 2017-05-12 cs.CV 83%

Large scale digital prostate pathology image analysis combining feature extraction and deep neural network

Naiyun Zhou, Andrey Fedorov, Fiona Fennessy, Ron Kikinis, Yi Gao

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

1601.00027 2016-01-05 cs.CV cs.AI 83%

Computational Pathology: Challenges and Promises for Tissue Analysis

Thomas J. Fuchs, Joachim M. Buhmann

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

Journal ref Computerized Medical Imaging and Graphics, vol. 35, 7-8, p. 515-530, 2011

1506.09166 2015-07-01 cs.CV cs.GR 83%

Aging display's effect on interpretation of digital pathology slides

Ali R. N. Avanaki, Kathryn S. Espig, Sameer Sawhney, Liron Pantanowitz, Anil V. Parwani, Albert Xthona, Tom R. L. Kimpe

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 cs.CV

2403.12090 2024-03-20 cs.IR cs.AI cs.CV cs.LG eess.IV 83%

Foundation Models and Information Retrieval in Digital Pathology

H. R. Tizhoosh

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、eess.IV

Comments This is the preprint of a book chapter to appear in "Artificial Intelligence in Pathology" by Stanley Cohen and Chhavi Chauhan

2201.02627 2022-01-24 eess.IV cs.CV cs.LG 83%

Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images

Eu Wern Teh, Graham W. Taylor

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、eess.IV；biomedical(comments)

Comments To appear in IEEE International Symposium on Biomedical Imaging (ISBI) 2022

2104.00411 2021-08-05 eess.IV cs.CV cs.LG 83%

Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

Ashkan Khakzar, Yang Zhang, Wejdene Mansour, Yuezhi Cai, Yawei Li, Yucheng Zhang, Seong Tae Kim, Nassir Navab

专题命中病理影像：pathology(title)；diagnosis(abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments Accepted in MICCAI 2021 (Medical Image Computing and Computer Assisted Intervention 2021) ----- Project website: https://camp-explain-ai.github.io/CheXplain-IBA/

2007.06565 2020-10-02 eess.IV cs.CV cs.LG 83%

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology

Zhongling Wang, Mahdi S. Hosseini, Adyn Miles, Konstantinos N. Plataniotis, Zhou Wang

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、eess.IV；medical image(comments)

Comments To be published in the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020

2601.01875 2026-01-06 cs.AI q-bio.QM 82%

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence

迈向病理学中的可审计神经符号推理：SQL作为证据的显式轨迹

Kewen Cao, Jianxu Chen, Yongbing Zhang, Ye Zhang, Hongxiao Wang

机构 * Capital Normal University, Beijing, China（首都师范大学）； Leibniz-Institut für Analytische Wissenschaften-ISAS, Dortmund, Germany（莱比锡分析科学研究所-ISAS）； Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学深圳校区）

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 q-bio

AI总结本文提出一种基于SQL的神经符号推理框架，通过可执行的SQL轨迹实现病理分析的可审计性和可解释性。

2209.04223 2023-05-31 eess.IV cs.CV 82%

Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs

Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer

专题命中病理影像：pathology(title,abstract)；biomedical(comments,journal_ref)；分类 cs.CV、eess.IV

Comments Accepted for publication at the Journal of Machine Learning for Biomedical Imaging (MELBA) https://www.melba-journal.org/2023:010

Journal ref Machine.Learning.for.Biomedical.Imaging. 2 (2023)

2205.09122 2023-04-26 q-bio.QM 82%

Slim: interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology

Chris Gorman, Davide Punzo, Igor Octaviano, Steve Pieper, William J. R. Longabaugh, David A. Clunie, Ron Kikinis, Andrey Y. Fedorov, Markus D. Herrmann

专题命中病理影像：pathology(title,abstract)；biomedical(abstract)；分类 q-bio

2302.10406 2023-02-22 cs.CL cs.CV cs.LG eess.IV q-bio.QM 82%

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines

Min Cen, Xingyu Li, Bangwei Guo, Jitendra Jonnagaddala, Hong Zhang, Xu Steven Xu

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、q-bio

2301.02317 2023-01-09 eess.IV cs.CV 82%

Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection

Muyiwa Babayomi, Oluwatosin Atinuke Olagbaju, Abdulrasheed Adedolapo Kadiri

专题命中病理影像：medical image(abstract)；MRI(abstract)；CT(abstract)；diagnosis(abstract)

2211.13621 2022-11-28 eess.IV cs.CV cs.LG q-bio.QM 82%

ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Kristiane Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori, Mattias Rantalainen

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、q-bio

2111.13627 2021-11-29 physics.med-ph q-bio.TO 82%

Short Review: Pathology of the image big data era using electron microscopy

Satoshi Kume

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 q-bio

2009.10190 2020-09-24 eess.IV cs.CV cs.LG q-bio.TO 82%

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Ming Y. Lu, Dehan Kong, Jana Lipkova, Richard J. Chen, Rajendra Singh, Drew F. K. Williamson, Tiffany Y. Chen, Faisal Mahmood

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、q-bio

1909.11212 2020-08-10 eess.IV cs.CV cs.LG q-bio.QM q-bio.TO 82%

Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World

Julianna D. Ianni, Rajath E. Soans, Sivaramakrishnan Sankarapandian, Ramachandra Vikas Chamarthi, Devi Ayyagari, Thomas G. Olsen, Michael J. Bonham, Coleman C. Stavish, Kiran Motaparthi, Clay J. Cockerell, Theresa A. Feeser, Jason B. Lee

专题命中病理影像：pathology(title)；diagnosis(abstract)；分类 cs.CV、cs.LG、q-bio

Comments 23 pages, 5 figures

Journal ref Sci Rep 10, 3217 (2020)

1910.12329 2019-10-30 cs.CV cs.LG eess.IV q-bio.QM 82%

Deep Learning Models for Digital Pathology

Aïcha BenTaieb, Ghassan Hamarneh

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、q-bio

Comments Technical report, Survey, 58 pages, 5 figures

1910.04918 2019-10-17 q-bio.TO cs.CV cs.LG eess.IV 82%

Deep Learning for Prostate Pathology

Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmood Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas Loening, Robert West, Geoffrey Sonn, Richard Fan, Olaf Bettendorf, James Brook, Daniel Rubin

专题命中病理影像：pathology(title,abstract)；分类 cs.CV、cs.LG、q-bio

1709.02293 2017-09-08 q-bio.QM 82%

Analyzing huge pathology images with open source software

Christophe Deroulers, David Ameisen, Mathilde Badoual, Chloé Gerin, Alexandre Granier, Marc Lartaud

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)；分类 q-bio

Journal ref Diagnostic Pathololgy 2013, 8:92

2606.08093 2026-08-19 cs.AI 版本更新 82%

A Multimodal Agentic Pathology Co-pilot via Evidence Grounded Reasoning

面向证据基础计算病理学的多模态智能体协同助手

Zhe Xu, Zhengyu Zhang, Zhiyuan Cai, Jiahao Xu, Yijie Lin, Ziyi Liu, Junlin Hou, Hongyi Wang, Yuxiang Nie, Yihui Wang, Jiabo Ma, Ling Liang, Yingxue Xu, Zhengrui Guo, Guanghao Wu, Danyi Li, Ziqi Zhou, Donglin Tan, Zhijian Cen, Ying Tan, Xiaolin Liu, Qi Xie, Xiaoying Tang, Xi Peng, Cheng Deng, Lijuan Qu, Ronald Cheong Kin Chan, Li Liang, Hao Chen

机构 * Department of Computer Science and Engineering, Hong Kong University of Science and Technology（香港科技大学计算机科学与工程系）； Department of Pathology, Nanfang Hospital, Southern Medical University（南方医科大学南芳医院病理科）； Department of Pathology, School of Basic Medical Sciences, Southern Medical University（南方医科大学基础医学学院病理科）； Department of Anatomical and Cellular Pathology, Chinese University of Hong Kong（香港中文大学解剖与细胞病理学系）； Guangdong Provincial Key Laboratory of Molecular Tumor Pathology（广东省分子肿瘤病理学重点实验室）； Jinfeng Laboratory（锦风实验室）； Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology（香港科技大学化学与生物工程系）； Division of Life Science, Hong Kong University of Science and Technology（香港科技大学生命科学系）； State Key Laboratory of Nervous System Disorders, The Hong Kong University of Science and Technology（香港科技大学神经系统疾病国家重点实验室）； HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, The Hong Kong University of Science and Technology（香港科技大学深圳-香港协同创新研究院）

专题命中病理影像：pathology(title,abstract)；diagnosis(abstract)

AI总结提出PathPocket，一种多模态AI协同助手，通过构建包含11万文档的病理证据语料库和455万实体的超图，实现基于证据的病理诊断，在20万真实案例上超越现有方法。

1. 病理影像 3453 篇

Handling uncertainty using features from pathology: opportunities in primary care data for developing high risk cancer survival methods

Reconstructing unseen modalities and pathology with an efficient Recurrent Inference Machine

Discovering Clinically Meaningful Shape Features for the Analysis of Tumor Pathology Images

Human-centric Metric for Accelerating Pathology Reports Annotation

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases

Automatic Classification of Pathology Reports using TF-IDF Features

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Terabyte-scale Deep Multiple Instance Learning for Classification and Localization in Pathology

Generalization of Deep Neural Networks for Chest Pathology Classification in X-Rays Using Generative Adversarial Networks

Deep learning with convolutional neural networks for decoding and visualization of EEG pathology

Large scale digital prostate pathology image analysis combining feature extraction and deep neural network

Computational Pathology: Challenges and Promises for Tissue Analysis

Aging display's effect on interpretation of digital pathology slides

Foundation Models and Information Retrieval in Digital Pathology

Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images

Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features

FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology

Toward Auditable Neuro-Symbolic Reasoning in Pathology: SQL as an Explicit Trace of Evidence

Pathology Synthesis of 3D-Consistent Cardiac MR Images using 2D VAEs and GANs

Slim: interoperable slide microscopy viewer and annotation tool for imaging data science and computational pathology

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines

Convolutional XGBoost (C-XGBOOST) Model for Brain Tumor Detection

ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology

Short Review: Pathology of the image big data era using electron microscopy

Federated Learning for Computational Pathology on Gigapixel Whole Slide Images

Augmenting the Pathology Lab: An Intelligent Whole Slide Image Classification System for the Real World

Deep Learning Models for Digital Pathology

Deep Learning for Prostate Pathology

Analyzing huge pathology images with open source software

A Multimodal Agentic Pathology Co-pilot via Evidence Grounded Reasoning