医学 AI - arXivDaily 专题

2302.06513 2023-02-14 eess.IV cs.CV cs.LG 82%

DEPAS: De-novo Pathology Semantic Masks using a Generative Model

Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir

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

2206.00389 2022-06-02 eess.IV cs.CV cs.LG 82%

A comparative study between vision transformers and CNNs in digital pathology

Luca Deininger, Bernhard Stimpel, Anil Yuce, Samaneh Abbasi-Sureshjani, Simon Schönenberger, Paolo Ocampo, Konstanty Korski, Fabien Gaire

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

Comments 8 pages, 2 figures, accepted for workshop T4Vision (CVPR 2022)

2112.09693 2022-05-23 cs.LG cs.AI cs.CV eess.IV 82%

Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology

Milda Pocevičiūtė, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström

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

2205.08467 2022-05-18 eess.IV cs.CV cs.LG 82%

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer

Haiqing Zhang, Chen Li, Shiliang Ai, Haoyuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek

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

2204.12541 2022-04-28 eess.IV cs.CV cs.LG 82%

Multi stain graph fusion for multimodal integration in pathology

Chaitanya Dwivedi, Shima Nofallah, Maryam Pouryahya, Janani Iyer, Kenneth Leidal, Chuhan Chung, Timothy Watkins, Andrew Billin, Robert Myers, John Abel, Ali Behrooz

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

2201.01449 2022-01-06 eess.IV cs.CV cs.LG 82%

Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia

Jon Braatz, Pranav Rajpurkar, Stephanie Zhang, Andrew Y. Ng, Jeanne Shen

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

2112.09496 2021-12-20 eess.IV cs.CV cs.LG 82%

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits

Amina Asif, Kashif Rajpoot, David Snead, Fayyaz Minhas, Nasir Rajpoot

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

2106.13689 2021-06-28 eess.IV cs.CV cs.LG 82%

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

Noorul Wahab, Islam M Miligy, Katherine Dodd, Harvir Sahota, Michael Toss, Wenqi Lu, Mostafa Jahanifar, Mohsin Bilal, Simon Graham, Young Park, Giorgos Hadjigeorghiou, Abhir Bhalerao, Ayat Lashen, Asmaa Ibrahim, Ayaka Katayama, Henry O Ebili, Matthew Parkin, Tom Sorell, Shan E Ahmed Raza, Emily Hero, Hesham Eldaly, Yee Wah Tsang, Kishore Gopalakrishnan, David Snead, Emad Rakha, Nasir Rajpoot, Fayyaz Minhas

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

2104.09878 2021-04-21 eess.IV cs.CV cs.LG 82%

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI

Rocío del Amor, Laëtitia Launet, Adrián Colomer, Anaïs Moscardó, Andrés Mosquera-Zamudio, Carlos Monteagudo, Valery Naranjo

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

Comments 16 pages

2103.08945 2021-03-17 eess.IV cs.CV cs.LG 82%

Unsupervised anomaly detection in digital pathology using GANs

Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström

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

2002.05115 2021-02-26 eess.IV cs.LG eess.SP stat.ML 82%

Machine-Learning-Based Diagnostics of EEG Pathology

Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball

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

Journal ref NeuroImage, Volume 220, 15 October 2020, 117021

2012.13955 2020-12-29 eess.IV cs.CV cs.LG 82%

Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning

Mostafa Ibrahim, Kevin Bryson

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

1802.08308 2020-12-10 stat.ME stat.AP 82%

A Bayesian Mark Interaction Model for Analysis of Tumor Pathology Images

Qiwei Li, Xinlei Wang, Faming Liang, Guanghua Xiao

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

Comments 53 pages, 12 figures

2011.06033 2020-11-13 cs.LG cs.CV eess.IV 82%

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

André Pedersen, Marit Valla, Anna M. Bofin, Javier Pérez de Frutos, Ingerid Reinertsen, Erik Smistad

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

Comments 12 pages, 4 figures, submitted to IEEE Access

2010.15269 2020-11-13 eess.IV cs.CV cs.LG 82%

GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video

Viswesh Krishna, Anirudh Joshi, Philip L. Bulterys, Eric Yang, Andrew Y. Ng, Pranav Rajpurkar

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

Comments Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract

2008.12571 2020-08-31 cs.LG cs.CV eess.IV 82%

Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography

Waheeda Saib, David Sengeh, Gcininwe Dlamini, Elvira Singh

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

Comments Accepted to KDD workshop on Machine Learning for Medicine and Healthcare, August 2018, London UK

2008.06353 2020-08-17 cs.CV cs.LG eess.IV 82%

Survey of XAI in digital pathology

Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström

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

2005.08645 2020-05-19 cs.CV cs.LG eess.IV 82%

Multi-Task Learning in Histo-pathology for Widely Generalizable Model

Jevgenij Gamper, Navid Alemi Kooohbanani, Nasir Rajpoot

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

Journal ref AI4CC ICLR 2020 workshop

2004.14936 2020-05-08 eess.IV cs.CV cs.LG 82%

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

Maximilian Ernst Tschuchnig, Gertie Janneke Oostingh, Michael Gadermayr

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

1712.06657 2017-12-20 cs.AI stat.ML 82%

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology

Andreas Holzinger, Bernd Malle, Peter Kieseberg, Peter M. Roth, Heimo Müller, Robert Reihs, Kurt Zatloukal

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

1710.03299 2017-11-22 cs.HC cs.CY 82%

A Review on the Applications of Crowdsourcing in Human Pathology

Roshanak Alialy, Sasan Tavakkol, Elham Tavakkol, Amir Ghorbani-Aghbologhi, Alireza Ghaffarieh, Seon Ho Kim, Cyrus Shahabi

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

2603.04405 2026-03-06 cs.CV cs.AI cs.LG 82%

Lost in Translation: How Language Re-Aligns Vision for Cross-Species Pathology

迷失在翻译中：语言如何重新对齐视觉以实现跨物种病理学

Ekansh Arora

机构 * Thomas Jefferson High School for Science and Technology（泰勒斯·杰弗里斯高中科学与技术学校）

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

AI总结本研究通过引入语义锚定机制，利用语言对齐解决跨物种病理学中的视觉-语言对齐问题，提升模型在跨物种任务中的性能。

Comments 27 pages, 6 figures, 7 tables. Code and data available at https://github.com/ekansh-arora0/cross-species-pathology

2409.19587 2024-10-01 eess.IV cs.CV 82%

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Abhijeet Patil, Harsh Diwakar, Jay Sawant, Nikhil Cherian Kurian, Subhash Yadav, Swapnil Rane, Tripti Bameta, Amit Sethi

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

Comments 18 pages

Journal ref Journal of Pathology Informatics, 2023

2406.18212 2024-09-18 eess.IV cs.CV 82%

Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis

Abdul Rehman, Sarfaraz Hussein, Waqas Sultani

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

Comments Under Review (Biomedical Signal Processing and Control)

Journal ref Volume 99, January 2025, 106899

2301.09431 2024-04-05 eess.IV cs.CV 82%

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images

Martin J. Hetz, Tabea-Clara Bucher, Titus J. Brinker

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

Comments 19 pages, 11 figures, 3 tables

Journal ref Medical Image Analysis 94 (2024) 103149

2105.05345 2021-05-13 cs.CV cs.LG 82%

Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding

Jacob Carse, Frank Carey, Stephen McKenna

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

Comments 5 pages, 4 figures, presented at IEEE International Symposium on Biomedical Imaging (ISBI) 2021

2002.07621 2021-03-26 eess.IV cs.CV 82%

Resource-Frugal Classification and Analysis of Pathology Slides Using Image Entropy

Steven J. Frank

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

Journal ref Biomedical Signal Processing and Control, vol. 66, April 2021, 102388

2601.10386 2026-06-25 cs.CV cs.AI cs.MM 81%

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer

多模态生存预测中缺失模态的处理：非小细胞肺癌的应用

Filippo Ruffini, Camillo Maria Caruso, Claudia Tacconi, Lorenzo Nibid, Francesca Miccolis, Marta Lovino, Carlo Greco, Edy Ippolito, Michele Fiore, Alessio Cortellini, Bruno Beomonte Zobel, Giuseppe Perrone, Bruno Vincenzi, Claudio Marrocco, Alessandro Bria, Elisa Ficarra, Sara Ramella, Valerio Guarrasi, Paolo Soda

机构 * Unit of Artificial Intelligence and Computer Systems, Department of Engineering（人工智能与计算机系统单位，工程系）； Università Campus Bio-Medico di Roma（罗马生物医学大学）； Department of Diagnostics and Intervention, Radiation Physics, Biomedical Engineering（诊断与介入部门，辐射物理，生物医学工程）； Umeå University（乌梅学院）； Research Unit of Radiation Oncology, Department of Medicine and Surgery（放射肿瘤研究单位，医学与外科部门）； Fondazione Policlinico Universitario Campus Bio-Medico（生物医学大学附属医院基金会）； Anatomical Pathology Operative Research Unit（解剖病理学操作研究单位）； Research Unit of Anatomical Pathology, Department of Medicine and Surgery（解剖病理学研究单位，医学与外科部门）； Department of Medicine and Surgery（医学与外科部门）

专题命中病理影像：CT(summary_cn,abstract)；分类 cs.CV

AI总结本文提出一种缺失感知的多模态生存框架，结合CT、WSI和临床数据，通过基础模型提取特征并融合，提升NSCLC生存预测的准确性与临床适用性。

2606.00927 2026-06-02 cs.CV 81%

Bridging Topology and Deep Representation Learning: A TDA-ViT Fusion Model for Four-Class Brain Tumor Classification

桥接拓扑与深度表示学习：用于四类脑肿瘤分类的TDA-ViT融合模型

Faisal Ahmed

机构 * Department of Data Science and Mathematics（数据科学与数学系）

专题命中病理影像：MRI(abstract,abstract_cn)；medical image(abstract)；diagnosis(abstract)；分类 cs.CV

AI总结提出一种将拓扑数据分析（TDA）特征与预训练Vision Transformer（ViT）表示相融合的框架，用于四类脑肿瘤分类，在BRISC2025数据集上达到99.10%的准确率。

Comments 21 pages, 4 figures

2605.16392 2026-05-19 q-bio.QM cs.CV cs.LG 81%

Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining

弥合病理MIL中的模态瓶颈：通过虚拟分子染色

Yucheng Xing, Pei Liu, Jingying Ma, Ruping Hong, Jiangdong Qiu, Tianyu Liu, Kai He, Ling Huang, Mengling Feng

机构 * National University of Singapore（新加坡国立大学）； Hunan University（湖南大学）； Peking Union Medical College Hospital (PUMCH)（北京协和医学院附属阜外医院）； Imperial College London（伦敦帝国理工学院）

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

AI总结本文提出MIST方法，通过虚拟分子染色提升病理MIL中投影层性能，改进240/256配置，平均提升3.5%，在生存预测、组织分型和生物标志物预测中分别提升5.2%、3.3%和2.6%。

1. 病理影像 3439 篇

DEPAS: De-novo Pathology Semantic Masks using a Generative Model

A comparative study between vision transformers and CNNs in digital pathology

Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology

Application of Graph Based Features in Computer Aided Diagnosis for Histopathological Image Classification of Gastric Cancer

Multi stain graph fusion for multimodal integration in pathology

Deep Learning-Based Sparse Whole-Slide Image Analysis for the Diagnosis of Gastric Intestinal Metaplasia

Towards Launching AI Algorithms for Cellular Pathology into Clinical & Pharmaceutical Orbits

Semantic annotation for computational pathology: Multidisciplinary experience and best practice recommendations

An Attention-based Weakly Supervised framework for Spitzoid Melanocytic Lesion Diagnosis in WSI

Unsupervised anomaly detection in digital pathology using GANs

Machine-Learning-Based Diagnostics of EEG Pathology

Generalized Categorisation of Digital Pathology Whole Image Slides using Unsupervised Learning

A Bayesian Mark Interaction Model for Analysis of Tumor Pathology Images

FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology

GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video

Hierarchical Deep Learning Ensemble to Automate the Classification of Breast Cancer Pathology Reports by ICD-O Topography

Survey of XAI in digital pathology

Multi-Task Learning in Histo-pathology for Widely Generalizable Model

Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology

A Review on the Applications of Crowdsourcing in Human Pathology

Lost in Translation: How Language Re-Aligns Vision for Cross-Species Pathology

Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

Joint Stream: Malignant Region Learning for Breast Cancer Diagnosis

Multi-domain stain normalization for digital pathology: A cycle-consistent adversarial network for whole slide images

Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding

Resource-Frugal Classification and Analysis of Pathology Slides Using Image Entropy

Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer

Bridging Topology and Deep Representation Learning: A TDA-ViT Fusion Model for Four-Class Brain Tumor Classification

Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining