医学 AI - arXivDaily 专题

2208.11052 2022-08-24 cs.CV 57%

IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir Rajpoot

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted in ECCV2022 MCV Workshop

2203.02284 2022-08-22 cs.CV 57%

Nuclei instance segmentation and classification in histopathology images with StarDist

Martin Weigert, Uwe Schmidt

专题命中病理影像：pathology(abstract)；分类 cs.CV

2208.04639 2022-08-11 cs.CV 57%

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows

M. M. Amaan Valiuddin, Christiaan G. A. Viviers, Ruud J. G. van Sloun, Peter H. N. de With, Fons van der Sommen

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments Published at 1st Workshop on Cancer Prevention through early detecTion (MICCAI 2022)

2208.04910 2022-08-10 cs.CV 57%

Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction

David Joon Ho, Narasimhan P. Agaram, Marc-Henri Jean, Stephanie D. Suser, Cynthia Chu, Chad M. Vanderbilt, Paul A. Meyers, Leonard H. Wexler, John H. Healey, Thomas J. Fuchs, Meera R. Hameed

专题命中病理影像：pathology(abstract)；分类 cs.CV

2208.04524 2022-08-10 stat.ML cs.LG 57%

Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences

Younghoon Kim, Tao Wang, Danyi Xiong, Xinlei Wang, Seongoh Park

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

2204.12454 2022-07-27 cs.CV 57%

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Typos corrected; Changed dataset name from INSEC to CRC upon dataset creators' request; Update affiliation and fix typos;

2206.10878 2022-07-25 cs.CV 57%

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

Philip Chikontwe, Soo Jeong Nam, Heounjeong Go, Meejeong Kim, Hyun Jung Sung, Sang Hyun Park

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments MICCAI 2022

2202.07570 2022-07-19 cs.CV 57%

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

Thomas Stegmüller, Behzad Bozorgtabar, Antoine Spahr, Jean-Philippe Thiran

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments 19 pages, 7 figures

2207.05796 2022-07-14 cs.LG 57%

Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction

Charles Lu, Syed Rakin Ahmed, Praveer Singh, Jayashree Kalpathy-Cramer

专题命中病理影像：clinical AI(abstract)；分类 cs.LG

Comments Principles of Distribution Shift (PODS) Workshop at ICML 2022

1901.04059 2022-07-12 cs.CV 57%

GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

Zhaoyang Xu, Xingru Huang, Carlos Fernández Moro, Béla Bozóky, Qianni Zhang

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

2205.14625 2022-07-05 cs.CV 57%

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

Ziquan Wei, Shenghua Cheng, Jing Cai, Shaoqun Zeng, Xiuli Liu, Zehua Wang

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

Comments 11 pages, 9 figures

2206.12798 2022-06-28 cs.CV 57%

Multiple Instance Learning with Mixed Supervision in Gleason Grading

Hao Bian, Zhuchen Shao, Yang Chen, Yifeng Wang, Haoqian Wang, Jian Zhang, Yongbing Zhang

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted by MICCAI 2022

2206.10033 2022-06-28 cs.CV 57%

Test Time Transform Prediction for Open Set Histopathological Image Recognition

Adrian Galdran, Katherine J. Hewitt, Narmin L. Ghaffari, Jakob N. Kather, Gustavo Carneiro, Miguel A. González Ballester

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted to MICCAI 2022

2206.02647 2022-06-07 cs.CV 57%

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood

专题命中病理影像：pathology(abstract)；分类 cs.CV

Comments Accepted to CVPR 2022 (Oral)

2110.04886 2022-06-07 cs.CV 57%

Multi-Class Cell Detection Using Spatial Context Representation

Shahira Abousamra, David Belinsky, John Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin Kurc, Dimitris Samaras, Joel Saltz, Chao Chen

专题命中病理影像：pathology(abstract)；分类 cs.CV

2205.09671 2022-05-20 cs.CV 57%

A graph-transformer for whole slide image classification

Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama

专题命中病理影像：pathology(abstract)；分类 cs.CV

2201.08550 2022-05-10 cs.CV 57%

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review

Xiaoqi Li, Haoyuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek

专题命中病理影像：diagnosis(abstract)；分类 cs.CV

2203.13948 2022-04-08 cs.CV 57%

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

Bolesław L. Osinski, Aïcha BenTaieb, Irvin Ho, Ryan D. Jones, Rohan P. Joshi, Andrew Westley, Michael Carlson, Caleb Willis, Luke Schleicher, Brett M. Mahon, Martin C. Stumpe

专题命中病理影像：pathology(abstract)；分类 cs.CV

2203.10107 2022-03-22 cs.LG 57%

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints

Eric Daoud, Luca Ganassali, Antoine Baker, Marc Lelarge

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments All comments are welcome

2104.03265 2022-03-21 eess.IV 57%

Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection

Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng

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

Comments 5 pages

2203.07404 2022-03-16 cs.LG cs.NA math.NA nlin.CD physics.flu-dyn stat.ML 57%

Respecting causality is all you need for training physics-informed neural networks

Sifan Wang, Shyam Sankaran, Paris Perdikaris

专题命中病理影像：pathology(abstract)；分类 cs.LG

Comments 35 pages, 27 figures, 4 tables

2203.07307 2022-03-15 cs.CV stat.ML 57%

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

Manuel Tran, Sophia J. Wagner, Melanie Boxberg, Tingying Peng

专题命中病理影像：pathology(abstract)；分类 cs.CV

1907.01696 2022-03-09 cs.CV 57%

A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images

Yanyuet Man, Xiangyun Ding, Xingcheng Yao, Han Bao

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

Comments The author list and contents of this paper is not complete. Other authors request to withdraw this paper

2202.11899 2022-02-25 cs.LG 57%

An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks

Essam H. Houssein, Zainab Abohashima, Mohamed Elhoseny, Waleed M. Mohamed

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

Journal ref The 2nd International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2021), IET

2108.09178 2022-01-20 cs.CV 57%

Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection

Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran

专题命中病理影像：pathology(abstract)；分类 cs.CV

2112.02598 2021-12-07 cs.LG 57%

Real-time Informative Surgical Skill Assessment with Gaussian Process Learning

Yangming Li, Randall Bly, Sarah Akkina, Rajeev C. Saxena, Ian Humphreys, Mark Whipple, Kris Moe, Blake Hannaford

专题命中病理影像：pathology(abstract)；分类 cs.LG

2111.05546 2021-11-30 cs.LG 57%

Biomarker Gene Identification for Breast Cancer Classification

Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

2111.01912 2021-11-04 cs.LG cs.AI 57%

Predicting Cancer Using Supervised Machine Learning: Mesothelioma

Avishek Choudhury

专题命中病理影像：diagnosis(abstract)；分类 cs.LG

Journal ref Technology and Health Care, 29(1), 45-58 (2021)

2110.04275 2021-10-11 eess.IV 57%

Multiple Myeloma Cancer Cell Instance Segmentation

Dikshant Sagar

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

Comments B.Tech Thesis Paper

2008.03628 2021-10-11 cs.CV stat.AP 57%

Appearance-free Tripartite Matching for Multiple Object Tracking

Lijun Wang, Yanting Zhu, Jue Shi, Xiaodan Fan

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

Comments 36 pages, 14 figures

1. 病理影像 3460 篇

IMPaSh: A Novel Domain-shift Resistant Representation for Colorectal Cancer Tissue Classification

Nuclei instance segmentation and classification in histopathology images with StarDist

Efficient Out-of-Distribution Detection of Melanoma with Wavelet-based Normalizing Flows

Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction

Multiple Instance Neural Networks Based on Sparse Attention for Cancer Detection using T-cell Receptor Sequences

Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images

Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification

ScoreNet: Learning Non-Uniform Attention and Augmentation for Transformer-Based Histopathological Image Classification

Estimating Test Performance for AI Medical Devices under Distribution Shift with Conformal Prediction

GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

Multiple Instance Learning with Mixed Supervision in Gleason Grading

Test Time Transform Prediction for Open Set Histopathological Image Recognition

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

Multi-Class Cell Detection Using Spatial Context Representation

A graph-transformer for whole slide image classification

What Can Machine Vision Do for Lymphatic Histopathology Image Analysis: A Comprehensive Review

AI-augmented histopathologic review using image analysis to optimize DNA yield and tumor purity from FFPE slides

SiMCa: Sinkhorn Matrix Factorization with Capacity Constraints

Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection

Respecting causality is all you need for training physics-informed neural networks

S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning

A Semi-Supervised Framework for Automatic Pixel-Wise Breast Cancer Grading of Histological Images

An Efficient Binary Harris Hawks Optimization based on Quantum SVM for Cancer Classification Tasks

Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection

Real-time Informative Surgical Skill Assessment with Gaussian Process Learning

Biomarker Gene Identification for Breast Cancer Classification

Predicting Cancer Using Supervised Machine Learning: Mesothelioma

Multiple Myeloma Cancer Cell Instance Segmentation

Appearance-free Tripartite Matching for Multiple Object Tracking