医学 AI - arXivDaily 专题

1509.00117 2017-03-29 cs.CV 70%

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

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

Comments 8 pages

1703.08516 2017-03-27 cs.CV 70%

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Martin Vallières, Emily Kay-Rivest, Léo Jean Perrin, Xavier Liem, Christophe Furstoss, Hugo J. W. L. Aerts, Nader Khaouam, Phuc Felix Nguyen-Tan, Chang-Shu Wang, Khalil Sultanem, Jan Seuntjens, Issam El Naqa

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

Comments (1) Paper: 33 pages, 4 figures, 1 table; (2) SUPP info: 41 pages, 7 figures, 8 tables

1702.08014 2017-02-28 cs.CV 70%

Adversarial Networks for the Detection of Aggressive Prostate Cancer

Simon Kohl, David Bonekamp, Heinz-Peter Schlemmer, Kaneschka Yaqubi, Markus Hohenfellner, Boris Hadaschik, Jan-Philipp Radtke, Klaus Maier-Hein

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

Comments 8 pages, 3 figures; under review as a conference paper at MICCAI 2017

1608.01658 2016-08-05 cs.CV 70%

Identifying Metastases in Sentinel Lymph Nodes with Deep Convolutional Neural Networks

Richard Chen, Yating Jing, Hunter Jackson

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

1511.03361 2015-11-12 cs.CV cs.AI 70%

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom Haider, Alexander Wong

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

Comments 3 pages

0906.3722 2009-12-01 cs.AI cs.CV physics.med-ph 70%

Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

Nidhal Bouaynaya, Jerzy Zielinski, Dan Schonfeld

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

2410.14489 2025-03-26 eess.IV cs.CV cs.LG 69%

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique

Maksuda Akter, Rabea Khatun, Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin

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

Journal ref Biomedical Materials & Devices,2025

2206.12815 2023-08-17 eess.IV cs.CV cs.LG 69%

Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features

Unaiza Sajid, Rizwan Ahmed Khan, Shahid Munir Shah, Sheeraz Arif

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

Journal ref Biomedical Signal Processing and Control 2023

2202.08510 2023-08-16 eess.IV cs.CV cs.LG 69%

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

Yujin Oh, Go Eun Bae, Kyung-Hee Kim, Min-Kyung Yeo, Jong Chul Ye

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

Journal ref Published in: IEEE Journal of Biomedical and Health Informatics (Volume: 27, Issue: 8, August 2023)

2301.09624 2023-01-24 eess.IV cs.CV cs.LG 69%

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images

Piotr Keller, Muhammad Dawood, Fayyaz ul Amir Afsar Minhas

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

Comments * Joint first authorship Accepted: IEEE - ISBI 2023 International Symposium on Biomedical Imaging

2206.08787 2022-06-20 eess.IV cs.CV cs.LG 69%

Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading

Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker

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

Comments 26th UK Conference on Medical Image Understanding and Analysis; 27 - 29 July 2022; University of Cambridge, UK. arXiv admin note: text overlap with arXiv:2003.10769

2011.03683 2020-11-11 eess.IV cs.CV cs.LG 69%

Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images

Shenghua He, Kyaw Thu Minn, Lilianna Solnica-Krezel, Mark A. Anastasio, Hua Li

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

Comments Medical Image Analysis 2020

2007.05791 2020-09-17 eess.IV cs.CV cs.LG 69%

Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith

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

Comments Accepted by MICCAI 2020 (Medical Image Computing and Computer Assisted Intervention)

2503.11846 2025-10-08 eess.IV cs.AI cs.CV cs.LG q-bio.QM 68%

A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Alexander Weers, Alexander H. Berger, Laurin Lux, Peter Schüffler, Daniel Rueckert, Johannes C. Paetzold

机构 * School of Computation, Information and Technology, Technical University of Munich（慕尼黑技术大学计算、信息与技术学院）； Department of Computing, Imperial College London（伦敦帝国学院计算机系）； Munich Center for Machine Learning（慕尼黑机器学习中心）； Munich Data Science Institute, Technical University of Munich（慕尼黑数据科学研究所）； Institute of Pathology, TUM School of Medicine and Health, Technical University of Munich（慕尼黑技术大学医学与健康学院病理学研究所）； Weill Cornell Medicine, Cornell University（韦尔医学院，康奈尔大学）

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

Comments 15 pages, 5 figures

2508.04649 2025-08-07 q-bio.PE 68%

Estimating breast cancer recurrence in a population-based registry in Georgia, US

Chrystelle Kiang, Micah Streiff, Rebecca Nash, Robert H. Lyles, Deirdre Cronin-Fenton, Anke Huels, Timothy L. Lash, Kevin C. Ward

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

2506.21641 2025-06-30 q-bio.QM 68%

Quantum Variational Transformer Model for Enhanced Cancer Classification

Don Roosan, Rubayat Khan, Md Rahatul Ashakin, Tiffany Khou, Saif Nirzhor, Mohammad Rifat Haider

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

Comments Conference information can be found here: https://ieai.net/prog.html

2412.03084 2025-03-03 eess.IV cs.CV cs.LG q-bio.QM 68%

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Ajinkya Deshpande, Deep Gupta, Ankit Bhurane, Nisha Meshram, Sneha Singh, Petia Radeva

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

Comments 14 figure, 9 tables

2407.09540 2024-07-16 eess.IV cs.CE cs.CV cs.LG q-bio.TO 68%

Prompting Whole Slide Image Based Genetic Biomarker Prediction

Ling Zhang, Boxiang Yun, Xingran Xie, Qingli Li, Xinxing Li, Yan Wang

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

Comments 11 pages, 3 figures, MICCAI2024

2403.16695 2024-03-26 eess.IV cs.CV cs.LG q-bio.TO 68%

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Daniel Hieber, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Frank Kramer, Iñaki Soto-Rey, Johannes Raffler

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

2403.16678 2024-03-26 eess.IV cs.CV cs.LG q-bio.TO 68%

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks

Dominik Müller, Philip Meyer, Lukas Rentschler, Robin Manz, Jonas Bäcker, Samantha Cramer, Christoph Wengenmayr, Bruno Märkl, Ralf Huss, Iñaki Soto-Rey, Johannes Raffler

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

2312.05258 2023-12-12 eess.IV cs.CV cs.LG q-bio.QM 68%

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

William McGough, Thomas Buddenkotte, Stephan Ursprung, Zeyu Gao, Grant Stewart, Mireia Crispin-Ortuzar

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

2206.06862 2023-11-02 q-bio.QM cs.CV cs.LG eess.IV 68%

Evaluating histopathology transfer learning with ChampKit

Jakub R. Kaczmarzyk, Tahsin M. Kurc, Shahira Abousamra, Rajarsi Gupta, Joel H. Saltz, Peter K. Koo

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

Comments Submitted to NeurIPS 2022 Track on Datasets and Benchmarks. Source code available at https://github.com/kaczmarj/champkit

2308.11162 2023-08-23 eess.IV cs.CV cs.LG q-bio.QM 68%

A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks

Abubakr Shafique, Ricardo Gonzalez, Liron Pantanowitz, Puay Hoon Tan, Alberto Machado, Ian A Cree, Hamid R. Tizhoosh

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

2308.10372 2023-08-22 eess.IV cs.CV cs.LG q-bio.QM 68%

Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging

Darryl E. Wright, Adriana V. Gregory, Deema Anaam, Sepideh Yadollahi, Sumana Ramanathan, Kafayat A. Oyemade, Reem Alsibai, Heather Holmes, Harrison Gottlich, Cherie-Akilah G. Browne, Sarah L. Cohen Rassier, Isabel Green, Elizabeth A. Stewart, Hiroaki Takahashi, Bohyun Kim, Shannon Laughlin-Tommaso, Timothy L. Kline

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

2306.06408 2023-06-16 eess.IV cs.CV cs.LG q-bio.NC 68%

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows

Josué Page Vizcaíno, Panagiotis Symvoulidis, Zeguan Wang, Jonas Jelten, Paolo Favaro, Edward S. Boyden, Tobias Lasser

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

2306.00548 2023-06-02 eess.IV cs.CV cs.LG physics.med-ph q-bio.QM 68%

Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining

Tanishq Mathew Abraham, Paloma Casteleiro Costa, Caroline Filan, Zhe Guang, Zhaobin Zhang, Stewart Neill, Jeffrey J. Olson, Richard Levenson, Francisco E. Robles

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

Comments 30 pages, 9 main figures, 1 table, 5 supplementary figures

2305.00223 2023-05-03 q-bio.QM cs.CV cs.LG eess.IV 68%

PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes

Steven Zvi Lapp, Eli David, Nathan S. Netanyahu

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

Comments 12 pages, 11 figures

2303.04696 2023-03-09 eess.IV cs.CV cs.LG q-bio.QM 68%

VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology

Ramin Nakhli, Allen Zhang, Hossein Farahani, Amirali Darbandsari, Elahe Shenasa, Sidney Thiessen, Katy Milne, Jessica McAlpine, Brad Nelson, C Blake Gilks, Ali Bashashati

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

2204.01593 2022-04-26 q-bio.QM cs.AI cs.CV cs.LG eess.IV 68%

Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering

Zihan Chen, Xingyu Li, Miaomiao Yang, Hong Zhang, Xu Steven Xu

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

2203.04308 2022-03-10 eess.IV cs.AI cs.CV cs.LG q-bio.QM 68%

Breast cancer detection using artificial intelligence techniques: A systematic literature review

Ali Bou Nassif, Manar Abu Talib, Qassim Nasir, Yaman Afadar, Omar Elgendy

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

Journal ref Artificial Intelligence in Medicine, Elsevier, Vol 127, May 2022

1. 病理影像 3448 篇

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

Adversarial Networks for the Detection of Aggressive Prostate Cancer

Identifying Metastases in Sentinel Lymph Nodes with Deep Convolutional Neural Networks

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection

Two-Dimensional ARMA Modeling for Breast Cancer Detection and Classification

An Integrated Deep Learning Model for Skin Cancer Detection Using Hybrid Feature Fusion Technique

Breast Cancer Classification using Deep Learned Features Boosted with Handcrafted Features

Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment

Maximum Mean Discrepancy Kernels for Predictive and Prognostic Modeling of Whole Slide Images

Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading

Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images

Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models

A Graph-Based Framework for Interpretable Whole Slide Image Analysis

Estimating breast cancer recurrence in a population-based registry in Georgia, US

Quantum Variational Transformer Model for Enhanced Cancer Classification

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Prompting Whole Slide Image Based Genetic Biomarker Prediction

Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer

DeepGleason: a System for Automated Gleason Grading of Prostate Cancer using Deep Neural Networks

Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

Evaluating histopathology transfer learning with ChampKit

A Preliminary Investigation into Search and Matching for Tumour Discrimination in WHO Breast Taxonomy Using Deep Networks

Developing a Machine Learning-Based Clinical Decision Support Tool for Uterine Tumor Imaging

Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows

Label- and slide-free tissue histology using 3D epi-mode quantitative phase imaging and virtual H&E staining

PathRTM: Real-time prediction of KI-67 and tumor-infiltrated lymphocytes

VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology

Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering

Breast cancer detection using artificial intelligence techniques: A systematic literature review