医学 AI - arXivDaily 专题

2503.01827 2025-03-04 cs.LG cs.SE eess.IV 76%

Open-source framework for detecting bias and overfitting for large pathology images

Anders Sildnes, Nikita Shvetsov, Masoud Tafavvoghi, Vi Ngoc-Nha Tran, Kajsa Møllersen, Lill-Tove Rasmussen Busund, Thomas K. Kilvær, Lars Ailo Bongo

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

2501.18161 2025-01-31 eess.IV cs.CV 76%

Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification

Rafiul Islam, Jihad Khan Dipu, Mehedi Hasan Tusar

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

Comments 18 pages

2409.03519 2025-01-13 eess.IV cs.CV 76%

Tissue Concepts: supervised foundation models in computational pathology

Till Nicke, Jan Raphael Schaefer, Henning Hoefener, Friedrich Feuerhake, Dorit Merhof, Fabian Kiessling, Johannes Lotz

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

Comments 22 Pages, 3 Figures, submitted to and under revision at Computers in Biology and Medicine

2312.09792 2024-07-09 cs.CV cs.AI cs.LG 76%

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology

Pedro Osorio, Guillermo Jimenez-Perez, Javier Montalt-Tordera, Jens Hooge, Guillem Duran-Ballester, Shivam Singh, Moritz Radbruch, Ute Bach, Sabrina Schroeder, Krystyna Siudak, Julia Vienenkoetter, Bettina Lawrenz, Sadegh Mohammadi

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

2308.10449 2023-08-22 cs.CV cs.AI cs.LG 76%

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images

Liangrui Pan, Lian Wang, Zhichao Feng, Liwen Xu, Shaoliang Peng

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

Comments Submitted to BIBM2023

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。

1. 病理影像 3457 篇

Open-source framework for detecting bias and overfitting for large pathology images

Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification

Tissue Concepts: supervised foundation models in computational pathology

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology

CVFC: Attention-Based Cross-View Feature Consistency for Weakly Supervised Semantic Segmentation of Pathology Images

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