医学 AI - arXivDaily 专题

2307.08132 2023-07-18 cs.CV cs.AI cs.LG 76%

Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis

Akhila Krishna K, Ravi Kant Gupta, Nikhil Cherian Kurian, Pranav Jeevan, Amit Sethi

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

2306.00034 2023-06-02 eess.IV cs.CV 76%

Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence

Ikboljon Sobirov

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

Comments This is Masters thesis work submitted to MBZUAI

2305.14566 2023-05-25 eess.IV cs.CV 76%

An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level

Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo

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

2302.02456 2023-02-17 eess.IV cs.CV cs.LG q-bio.QM 76%

Deep Learning Approach for Early Stage Lung Cancer Detection

Saleh Abunajm, Nelly Elsayed, Zag ElSayed, Murat Ozer

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

Comments Under review in FLAIRS 2023

2212.12844 2022-12-27 eess.IV cs.CV 76%

Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images

Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi

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

2207.06578 2022-08-18 physics.med-ph cs.CV cs.LG eess.IV q-bio.QM 76%

Virtual stain transfer in histology via cascaded deep neural networks

Xilin Yang, Bijie Bai, Yijie Zhang, Yuzhu Li, Kevin de Haan, Tairan Liu, Aydogan Ozcan

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

Comments 14 Pages, 4 Figures, 1 Table

Journal ref ACS Photonics (2022)

2110.01606 2022-08-04 eess.IV cs.CV 76%

Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Daniel G. P. Petrini, Carlos Shimizu, Rosimeire A. Roela, Gabriel V. Valente, Maria A. A. K. Folgueira, Hae Yong Kim

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

Comments Updated to published version in IEEE Access

Journal ref IEEE Access, vol. 10, pp. 77723-77731, 2022

2108.07183 2021-10-07 cs.CV cs.LG 76%

Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology

Chetan L Srinidhi, Anne L Martel

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

Comments Accepted at ICCV 2021 CDpath workshop

2106.16174 2021-09-21 q-bio.QM cs.CV cs.LG eess.IV 76%

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

Pingjun Chen, Muhammad Aminu, Siba El Hussein, Joseph D. Khoury, Jia Wu

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

Comments Accepted by MICCAI2021

1907.02644 2021-04-14 eess.IV cs.LG stat.ML 76%

PathologyGAN: Learning deep representations of cancer tissue

Adalberto Claudio Quiros, Roderick Murray-Smith, Ke Yuan

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

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

Journal ref Journal of Machine Learning for Biomedical Imaging. 2021:4. pp 1-48. Special Issue: Medical Imaging with Deep Learning (MIDL) 2020

2011.14301 2020-12-10 eess.IV cs.CV stat.ML 76%

Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

Haotian Xie, Yong Zhang, Jun Wang, Jingjing Zhang, Yifan Ma, Zhaogang Yang

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

Comments This article has been removed by arXiv administrators because the submitter did not have the authority to grant the license applied at the time of submission

2010.06931 2020-12-01 eess.IV cs.CV 76%

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

Stefan B. Ploner, Martin F. Kraus, Eric M. Moult, Lennart Husvogt, Julia Schottenhamml, A. Yasin Alibhai, Nadia K. Waheed, Jay S. Duker, James G. Fujimoto, Andreas K. Maier

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

Comments 22 pages, 11 figures, 4 tables

2011.09265 2020-11-19 eess.IV cs.CV cs.LG q-bio.QM 76%

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati

专题命中病理影像：medical image(abstract)；MRI(abstract)；分类 cs.CV、cs.LG、q-bio

2009.14001 2020-09-30 cs.CV cs.LG 76%

Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations

Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch

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

Comments 8 pages (references excluded), 3 figures, presented in iMIMIC Workshop at MICCAI 2020

2008.11673 2020-08-27 eess.IV cs.CV 76%

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology

Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta

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

2007.13952 2020-07-29 eess.IV cs.CV 76%

EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology

Zheyu Zhu, Yuzhe Lu, Ruining Deng, Haichun Yang, Agnes B. Fogo, Yuankai Huo

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

2005.10957 2020-06-30 eess.IV cs.CV 76%

Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning

Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati

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

1902.08670 2020-05-06 cs.CV cs.LG eess.IV q-bio.QM 76%

Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder

Xingyu Li, Marko Radulovic, Ksenija Kanjer, Konstantinos N. Plataniotis

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

Journal ref IEEE Access, vol. 7, 2019

1911.08716 2019-11-21 cs.CV cs.LG 76%

DermGAN: Synthetic Generation of Clinical Skin Images with Pathology

Amirata Ghorbani, Vivek Natarajan, David Coz, Yuan Liu

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

Comments In full proceedings of NeurIPS ML4H workshop, 2019

1909.09124 2019-09-20 eess.IV cs.CV 76%

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning

Saima Rathore, Muhammad Aksam Iftikhar, Zissimos Mourelatos

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

Comments 4 Figures

1812.00884 2018-12-04 cs.CV cs.LG stat.ML 76%

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology

Shazia Akbar, Anne L. Martel

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

Comments Machine Learning for Health (ML4H) Workshop at NeurIPS 2018

2401.08699 2024-03-25 eess.IV cs.AI cs.CV cs.IR q-bio.QM 76%

On Image Search in Histopathology

H. R. Tizhoosh, Liron Pantanowitz

专题命中病理影像：pathology(abstract,comments)；diagnosis(abstract)；分类 cs.CV、q-bio、eess.IV

Comments A chapter in the Book "Artificial INtelligence in Digital Pathology" by Cohen and Chauhan, 2024

1809.01040 2018-09-05 cs.CV 76%

Iris recognition in cases of eye pathology

Mateusz Trokielewicz, Adam Czajka, Piotr Maciejewicz

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

Comments Accepted for publication as a chapter in A. Nait-Ali (Ed.), "Biometrics under Biomedical Considerations", Springer, 2019, ISBN 978-981-13-1143-7

2608.09996 2026-08-12 eess.IV cs.AI cs.CV cs.LG 新提交 75%

Energy and Performance Benchmarking of Deep Learning Models for Breast Cancer Detection

用于乳腺癌检测的深度学习模型的能效与性能基准测试

Samar Garrab, Ghada Achour

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

AI总结本文在乳腺超声、BreakHis 400X 两个数据集上对比七种深度学习模型的能效与性能，发现不同模型在两个数据集上的表现不同，需综合多维度选择医学应用模型。

Comments Accepted at ICMLA 2026 (IEEE International Conference on Machine Learning and Applications). Camera-ready version submitted

2505.09755 2026-06-16 cs.AI 75%

Explainability Through Human-Centric Design for XAI in Lung Cancer Detection

通过以人为中心的设计实现XAI在肺癌检测中的可解释性

Amy Rafferty, Rishi Ramaesh, Ajitha Rajan

机构 * University of Edinburgh（爱丁堡大学）； NHS Lothian（NHS洛锡安）

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

AI总结本文提出XpertXAI模型，通过人类中心设计在肺癌检测中实现可解释性，优于现有方法，提供更符合专家推理的概念解释。

2503.15664 2026-03-06 cs.CL 75%

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation

利用大型语言模型增强胰腺癌分期：检索增强生成的作用

Hisashi Johno, Yuki Johno, Akitomo Amakawa, Junichi Sato, Ryota Tozuka, Atsushi Komaba, Hiroaki Watanabe, Hiroki Watanabe, Chihiro Goto, Hiroyuki Morisaka, Hiroshi Onishi, Kazunori Nakamoto

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

AI总结利用RAG技术提升胰腺癌分期准确性，展示NotebookLM在临床诊断中的应用价值

Comments 11 pages, 6 figures, 2 tables, 6 supplementary files

2601.00787 2026-01-05 cs.CL 75%

Adapting Natural Language Processing Models Across Jurisdictions: A pilot Study in Canadian Cancer Registries

在不同司法管辖区适应自然语言处理模型：加拿大癌症登记处的试点研究

Jonathan Simkin, Lovedeep Gondara, Zeeshan Rizvi, Gregory Doyle, Jeff Dowden, Dan Bond, Desmond Martin, Raymond Ng

机构 * School of Population and Public Health University of British Columbia（流行病学与公共卫生学院首都大学）； Newfoundland & Labrador Health Services（纽芬兰与拉布拉多省卫生服务）； Data Science Institute University of British Columbia（数据科学研究所首都大学）

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

AI总结本研究通过结合两种模型，提高了癌症登记处NLP的性能，减少了遗漏癌症并提升了错误覆盖，展示了跨司法管辖区适应的可行性。

2507.16876 2025-07-30 q-bio.QM cs.AI cs.LG 75%

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review

Charlotte Jennings, Andrew Broad, Lucy Godson, Emily Clarke, David Westhead, Darren Treanor

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

Comments Main article (50 pages, inc 3 tables, 4 figures). Supplementary material included with additional methodological information and data

2305.12844 2025-06-10 eess.IV cs.CV cs.LG 75%

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification

Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin

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

Comments After further evaluation, we identified an issue in our methodology affecting result reliability. Specifically, a fine-tuning preprocessing step requires refinement to enhance model performance and reproducibility. To address this, we are withdrawing the preprint for updates before resubmission. We appreciate readers' understanding and apologize for any inconvenience

2505.05689 2025-05-12 eess.IV cs.CV cs.LG 75%

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology

Fuyao Chen, Yuexi Du, Tal Zeevi, Nicha C. Dvornek, John A. Onofrey

机构 * Department of Biomedical Engineering, Yale University（生物医学工程系，耶鲁大学）； Department of Radiology & Biomedical Imaging, Yale University（放射科与生物医学成像系，耶鲁大学）； Department of Urology, Yale University（泌尿外科系，耶鲁大学）； Medical Scientist Training Program, Yale University（医学科学家培训计划，耶鲁大学）

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

Comments Accepted by MIDL 2025

1. 病理影像 3439 篇

Heterogeneous graphs model spatial relationships between biological entities for breast cancer diagnosis

Diagnosis and Prognosis of Head and Neck Cancer Patients using Artificial Intelligence

An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level

Deep Learning Approach for Early Stage Lung Cancer Detection

Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images

Virtual stain transfer in histology via cascaded deep neural networks

Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Improving Self-supervised Learning with Hardness-aware Dynamic Curriculum Learning: An Application to Digital Pathology

Hierarchical Phenotyping and Graph Modeling of Spatial Architecture in Lymphoid Neoplasms

PathologyGAN: Learning deep representations of cancer tissue

Automated Prostate Cancer Diagnosis Based on Gleason Grading Using Convolutional Neural Network

Efficient and high accuracy 3-D OCT angiography motion correction in pathology

A Transfer Learning Based Active Learning Framework for Brain Tumor Classification

Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations

Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology

EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology

Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning

Discriminative Pattern Mining for Breast Cancer Histopathology Image Classification via Fully Convolutional Autoencoder

DermGAN: Synthetic Generation of Clinical Skin Images with Pathology

Prediction of overall survival and molecular markers in gliomas via analysis of digital pathology images using deep learning

Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology

On Image Search in Histopathology

Iris recognition in cases of eye pathology

Energy and Performance Benchmarking of Deep Learning Models for Breast Cancer Detection

Explainability Through Human-Centric Design for XAI in Lung Cancer Detection

Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation

Adapting Natural Language Processing Models Across Jurisdictions: A pilot Study in Canadian Cancer Registries

Machine learning-based multimodal prognostic models integrating pathology images and high-throughput omic data for overall survival prediction in cancer: a systematic review

An Optimized Ensemble Deep Learning Model For Brain Tumor Classification

Equivariant Imaging Biomarkers for Robust Unsupervised Segmentation of Histopathology