医学 AI - arXivDaily 专题

2011.06984 2020-11-16 eess.IV cs.CV 73%

Metastatic Cancer Image Classification Based On Deep Learning Method

Guanwen Qiu, Xiaobing Yu, Baolin Sun, Yunpeng Wang, Lipei Zhang

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

Comments 4 pages, 3 figures, 1 table, accepted by ICCECE

2010.15865 2020-11-02 eess.IV cs.CV 73%

Ink Marker Segmentation in Histopathology Images Using Deep Learning

Danial Maleki, Mehdi Afshari, Morteza Babaie, H. R. Tizhoosh

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

Comments Accepted for publication in the 15th International Symposium on Visual Computing (ISVC 2020)

2006.03394 2020-10-23 eess.IV cs.CV 73%

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

Hans Pinckaers, Wouter Bulten, Jeroen van der Laak, Geert Litjens

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

2007.00741 2020-10-15 physics.optics cs.CV eess.IV physics.app-ph 73%

Deep learning-based holographic polarization microscopy

Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan

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

Comments 20 pages, 8 figures

Journal ref ACS Photonics (2020)

1906.12177 2020-09-11 cs.CV cs.LG stat.ML 73%

Learning to segment microscopy images with lazy labels

Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb

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

2009.03878 2020-09-09 eess.IV cs.CV 73%

Convolution Neural Networks for diagnosing colon and lung cancer histopathological images

Sanidhya Mangal, Aanchal Chaurasia, Ayush Khajanchi

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

Comments 10 pages, 4 figures, 2 tables

2008.11331 2020-08-27 cs.CV cs.LG 73%

Synthetic Sample Selection via Reinforcement Learning

Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer Antani, Zhiyun Xue, Keith Cheng, Xiaolei Huang

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

Comments MICCAI2020

2008.09352 2020-08-24 eess.IV cs.CV 73%

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

Zhang Li, Jiehua Zhang, Tao Tan, Xichao Teng, Xiaoliang Sun, Yang Li, Lihong Liu, Yang Xiao, Byungjae Lee, Yilong Li, Qianni Zhang, Shujiao Sun, Yushan Zheng, Junyu Yan, Ni Li, Yiyu Hong, Junsu Ko, Hyun Jung, Yanling Liu, Yu-cheng Chen, Ching-wei Wang, Vladimir Yurovskiy, Pavel Maevskikh, Vahid Khanagha, Yi Jiang, Xiangjun Feng, Zhihong Liu, Daiqiang Li, Peter J. Schüffler, Qifeng Yu, Hui Chen, Yuling Tang, Geert Litjens

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

2008.03750 2020-08-11 eess.IV cs.CV 73%

Switching Loss for Generalized Nucleus Detection in Histopathology

Deepak Anand, Gaurav Patel, Yaman Dang, Amit Sethi

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

2006.06531 2020-06-12 eess.IV cs.LG 73%

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

Abtin Riasatian, Maral Rasoolijaberi, Morteza Babaei, H. R. Tizhoosh

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

Comments Accepted at International Joint Conference on Neural Networks (IJCNN), 2020

2005.14017 2020-06-01 eess.IV cs.CV 73%

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction

William Le, Francisco Perdigón Romero, Samuel Kadoury

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

Comments 6 pages, 1 figure, 1 table, Medical Imaging with Deep Learning 2020 conference

2005.13924 2020-05-29 cs.CV eess.IV 73%

CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images

Ferdaous Idlahcen, Mohammed Majid Himmi, Abdelhak Mahmoudi

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

Comments Presented at the ICLR 2020 Workshop on AI for Overcoming Global Disparities in Cancer Care (AI4CC)

2004.10884 2020-04-24 eess.IV cs.CV 73%

Microscopy Image Restoration using Deep Learning on W2S

Martin Chatton

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

2003.07529 2020-03-18 eess.IV cs.CV 73%

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited

Shyamali Mitra, Nibaran Das, Soumyajyoti Dey, Sukanta Chakrabarty, Mita Nasipuri, Mrinal Kanti Naskar

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

1910.04852 2020-03-12 eess.IV cs.CV 73%

Training Multiscale-CNN for Large Microscopy Image Classification in One Hour

Kushal Datta, Imtiaz Hossain, Sun Choi, Vikram Saletore, Kyle Ambert, William J. Godinez, Xian Zhang

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

Comments 15 pages, 10 figures

Journal ref Workshop on Scalable Data Analytics in Scientific Computing, International SuperComputing 2019, Frankfurt, Germany

2003.00823 2020-03-03 cs.CV cs.LG stat.ML 73%

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

Abhijeet Patil, Dipesh Tamboli, Swati Meena, Deepak Anand, Amit Sethi

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

Comments Accepted in 2019 5th IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) and Awarded as best paper

1911.11808 2019-11-28 eess.IV cs.CV 73%

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

Yang Jiao, Mo Weng, Mei Yang

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

Comments 10 pages, 8 figures, CVPR 2019

1905.03356 2019-10-31 eess.IV cs.LG stat.ML 73%

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field

Yicheng Chen, Angela Jakary, Sivakami Avadiappan, Christopher P. Hess, Janine M. Lupo

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

1909.07581 2019-09-20 eess.IV cs.CV 73%

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma

Saima Rathore, Muhammad A. Iftikhar, Metin N. Gurcan, Zissimos Mourelatos

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

Comments 10 pages, 5 figures, 1 table

1901.03684 2019-08-06 eess.IV cs.LG 73%

Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images

Francisco Perdigon Romero, An Tang, Samuel Kadoury

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

Comments 4 pages, 5 figures

1906.07496 2019-06-19 eess.IV cs.CV 73%

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy

Petru Manescu, Lydia Neary- Zajiczek, Michael J. Shaw, Muna Elmi, Remy Claveau, Vijay Pawar, John Shawe-Taylor, Iasonas Kokkinos, Mandayam A. Srinivasan, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Biobele J. Brown, Delmiro Fernandez-Reyes

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

Comments 10 pages, 4 figures

1905.10959 2019-05-28 cs.CV eess.IV 73%

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

Ye Tian, Li Yang, Wei Wang, Jing Zhang, Qing Tang, Mili Ji, Yang Yu, Yu Li, Hong Yang, Airong Qian

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

Comments 8 pages, 5figures

1807.07701 2019-02-08 eess.IV cs.CV physics.med-ph 73%

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning

Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan

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

Journal ref Light: Science and Applications, 8 (2019)

1705.03572 2017-10-23 cs.NE cs.CV cs.LG 73%

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

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、cs.LG

Comments 26 pages

1309.3337 2015-06-17 q-bio.TO 73%

A general framework for modeling tumor-immune system competition and immunotherapy: mathematical analysis and biomedical inferences

Alberto d'Onofrio

专题命中病理影像：biomedical(title)；分类 q-bio

Comments 22 pages, 13 figures

Journal ref Physica D, 208, 220-235 (2005)

2604.16034 2026-04-20 cs.CV physics.data-an 72%

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction

为头颈癌预后预测排名XAI方法

Baoqiang Ma, Djennifer K. Madzia-Madzou, Rosa C. J. Kraaijveld, Jin Ouyang

机构 * Image Sciences Institute, University Medical Center Utrecht（图像科学研究所，乌得勒支大学医学中心）

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

AI总结本文研究了13种XAI方法在24项指标上的综合评估，发现不同方法在可解释性、鲁棒性等方面存在显著差异，IG和DL在可解释性、复杂性和合理性上表现突出。

Comments 4-page conference paper, accepted at IEEE ISBI 2026 (International Symposium on Biomedical Imaging)

2401.15886 2024-03-13 cs.CV 72%

Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue

Andrew Davidson, Arthur Morley-Bunker, George Wiggins, Logan Walker, Gavin Harris, Ramakrishnan Mukundan, kConFab Investigators

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

Comments This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023), and is available online at https://doi.org/10.1007/978-981-97-1335-6_7

2211.04793 2022-11-10 cs.CV 72%

RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection

Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora

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

Comments To Appear in Elsevier Medical Image Analysis

2106.07068 2021-06-15 cs.CV 72%

HistoTransfer: Understanding Transfer Learning for Histopathology

Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown

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

Comments Accepted at IEEE International Conference on Biomedical and Health Informatics (BHI'21). arXiv admin note: text overlap with arXiv:2103.10626

2103.08082 2021-03-16 cs.CV 72%

Exploring Genetic-histologic Relationships in Breast Cancer

Ruchi Chauhan, PK Vinod, CV Jawahar

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

Comments Accepted at International Symposium of Biomedical Imaging (ISBI) 2021

1. 病理影像 3448 篇

Metastatic Cancer Image Classification Based On Deep Learning Method

Ink Marker Segmentation in Histopathology Images Using Deep Learning

Detection of prostate cancer in whole-slide images through end-to-end training with image-level labels

Deep learning-based holographic polarization microscopy

Learning to segment microscopy images with lazy labels

Convolution Neural Networks for diagnosing colon and lung cancer histopathological images

Synthetic Sample Selection via Reinforcement Learning

Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019

Switching Loss for Generalized Nucleus Detection in Histopathology

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

A Normalized Fully Convolutional Approach to Head and Neck Cancer Outcome Prediction

CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images

Microscopy Image Restoration using Deep Learning on W2S

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited

Training Multiscale-CNN for Large Microscopy Image Classification in One Hour

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with Increased Receptive Field

Radiopathomics: Integration of radiographic and histologic characteristics for prognostication in glioblastoma

Multi-Level Batch Normalization In Deep Networks For Invasive Ductal Carcinoma Cell Discrimination In Histopathology Images

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy

Computer-aided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning

Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection

A general framework for modeling tumor-immune system competition and immunotherapy: mathematical analysis and biomedical inferences

Ranking XAI Methods for Head and Neck Cancer Outcome Prediction

Grey Level Texture Features for Segmentation of Chromogenic Dye RNAscope From Breast Cancer Tissue

RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection

HistoTransfer: Understanding Transfer Learning for Histopathology

Exploring Genetic-histologic Relationships in Breast Cancer