医学 AI - arXivDaily 专题

2305.17370 2023-05-30 cs.CV cs.AI cs.LG 62%

Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation

Neel Kanwal, Trygve Eftestol, Farbod Khoraminia, Tahlita CM Zuiverloon, Kjersti Engan

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

Comments Accepted at PAKDD 2023

2305.10552 2023-05-23 cs.CV cs.LG 62%

Deep Multiple Instance Learning with Distance-Aware Self-Attention

Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelović

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

2303.01777 2023-05-22 eess.IV cs.CV 62%

Benchmarking White Blood Cell Classification Under Domain Shift

Satoshi Tsutsui, Zhengyang Su, Bihan Wen

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

Comments Accepted to the International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023. More datasets are cited

2303.12095 2023-05-17 eess.IV cs.CV 62%

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning

Ricardo Mokhtari, Azam Hamidinekoo, Daniel Sutton, Arthur Lewis, Bastian Angermann, Ulf Gehrmann, Pal Lundin, Hibret Adissu, Junmei Cairns, Jessica Neisen, Emon Khan, Daniel Marks, Nia Khachapuridze, Talha Qaiser, Nikolay Burlutskiy

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

Comments Accepted to the Medical Imaging with Deep Learning (MIDL'23)

2305.02032 2023-05-04 cs.CV cs.LG 62%

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification

Sajid Javed, Arif Mahmood, Talha Qaiser, Naoufel Werghi, Nasir Rajpoot

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

2304.12149 2023-04-25 cs.CV eess.IV 62%

Exploring shared memory architectures for end-to-end gigapixel deep learning

Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman

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

2304.04238 2023-04-11 eess.IV cs.CV 62%

Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement

Linhao Qu, Minghong Duan, Zhiwei Yang, Manning Wang, Zhijian Song

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

2304.03101 2023-04-07 eess.IV cs.CV 62%

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides

Lydia A. Schoenpflug, Maxime W. Lafarge, Anja L. Frei, Viktor H. Koelzer

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

2303.13110 2023-03-27 eess.IV cs.CV 62%

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology

Jeongun Ryu, Aaron Valero Puche, JaeWoong Shin, Seonwook Park, Biagio Brattoli, Jinhee Lee, Wonkyung Jung, Soo Ick Cho, Kyunghyun Paeng, Chan-Young Ock, Donggeun Yoo, Sérgio Pereira

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

Comments Accepted for publication at CVPR'23

2303.10342 2023-03-21 eess.IV cs.CV 62%

Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data

Yinsheng He, Xingyu Li

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

Comments 8 pages, 3 figures, 3 tables, 1 appendix

2208.14125 2023-03-15 cs.CV cs.AI cs.LG stat.ML 62%

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

Dominik J. E. Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr

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

2303.06727 2023-03-14 cs.CV eess.IV 62%

Increasing the usefulness of already existing annotations through WSI registration

Philippe Weitz, Viktoria Sartor, Balazs Acs, Stephanie Robertson, Daniel Budelmann, Johan Hartman, Mattias Rantalainen

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

2303.05752 2023-03-13 eess.IV cs.CV 62%

Deep Learning for Predicting Metastasis on Melanoma WSIs

Christopher Andreassen, Saul Fuster, Helga Hardardottir, Emiel A. M. Janssen, Kjersti Engan

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

2303.04604 2023-03-09 eess.IV cs.CV 62%

Simple and Efficient Confidence Score for Grading Whole Slide Images

Mélanie Lubrano, Yaëlle Bellahsen-Harrar, Rutger Fick, Cécile Badoual, Thomas Walter

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

2303.03965 2023-03-08 cs.CV cs.LG 62%

Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction

William Trung Le, Chulmin Bang, Philippine Cordelle, Daniel Markel, Phuc Felix Nguyen-Tan, Houda Bahig, Samuel Kadoury

专题命中病理影像：CT(abstract)；分类 cs.CV、cs.LG

Comments 11 pages, 3 figures, 2 equations, 2 tables

2303.02241 2023-03-07 cs.CV cs.LG 62%

Domain adaptation using optimal transport for invariant learning using histopathology datasets

Kianoush Falahkheirkhah, Alex Lu, David Alvarez-Melis, Grace Huynh

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

2211.06822 2023-03-07 physics.med-ph cs.CV cs.LG 62%

Deep Learning-enabled Virtual Histological Staining of Biological Samples

Bijie Bai, Xilin Yang, Yuzhu Li, Yijie Zhang, Nir Pillar, Aydogan Ozcan

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

Comments 35 Pages, 7 Figures, 2 Tables

Journal ref Light: Science & Applications (2023)

2302.08867 2023-02-23 eess.IV cs.CV 62%

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning

Jack Breen, Katie Allen, Kieran Zucker, Geoff Hall, Nicolas M. Orsi, Nishant Ravikumar

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

2109.07892 2023-02-10 eess.IV cs.CV 62%

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images

John-Melle Bokhorst, Iris D. Nagtegaal, Filippo Fraggetta, Simona Vatrano, Wilma Mesker, Michael Vieth, Jeroen van der Laak, Francesco Ciompi

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

2212.01737 2022-12-14 cs.CV cs.AI cs.LG 62%

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

Boxuan Zhao, Jun Zhang, Deheng Ye, Jian Cao, Xiao Han, Qiang Fu, Wei Yang

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

Comments accepted by AAAI 2023

2212.03465 2022-12-08 cs.CV cs.AI cs.LG 62%

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy

Gihun Lee, Sangmook Kim, Joonkee Kim, Se-Young Yun

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

Comments NeurIPS 2022 Cell Segmentation Challenge

2211.16632 2022-12-01 cs.CV cs.LG 62%

Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics

Chunyuan Li, Xinliang Zhu, Jiawen Yao, Junzhou Huang

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

Comments accepted by ICPR 2022

2211.10690 2022-11-22 eess.IV cs.CV 62%

convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer

M. F. Mridha, Md. Kishor Morol, Md. Asraf Ali, Md Sakib Hossain Shovon

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

2211.08512 2022-11-22 cs.CV cs.LG 62%

N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture

Eva Höck, Tim-Oliver Buchholz, Anselm Brachmann, Florian Jug, Alexander Freytag

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

Comments 16 pages, 7 figures, 5 page supplement, 4 supplementary figures, accepted at BIC workshop at ECCV 2022

2211.09559 2022-11-18 eess.IV cs.CV 62%

Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach

Manh Dan Pham, Cyprien Tilmant, Stéphanie Petit, Isabelle Salmon, Saima Ben Hadj, Rutger H. J. Fick

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

Comments Submitted to Elsevier

2209.01534 2022-11-15 cs.CV cs.LG 62%

Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations

Wisdom Oluchi Ikezogwo, Mehmet Saygin Seyfioglu, Linda Shapiro

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

Comments Extended Abstract presented at Machine Learning for Health (ML4H) symposium 2022, November 28th, 2022, New Orleans, United States & Virtual, http://www.ml4h.cc, 10 pages

2211.04649 2022-11-10 eess.IV cs.CV 62%

Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations

Benjamín Hernández, Violeta Chang

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

2211.00749 2022-11-03 eess.IV cs.CV 62%

ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification

Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, Yasser Alatawi, Hassan Althobaiti, Abdulmajeed Alrefaei, Yousef M Hawsawi, Tin Nguyen

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

Comments 7 pages, 10 figures, 7 tables

2201.11446 2022-09-29 eess.IV cs.CV 62%

Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset

Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville

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

Comments Submitted to Scientific Data. 15 pages, 9 figures, 6 tables

Journal ref Scientific Data vol. 9 (2022)

2203.07707 2022-09-09 eess.IV cs.CV 62%

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images

Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

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

Comments Accepted to IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023)

1. 病理影像 3453 篇

Vision Transformers for Small Histological Datasets Learned through Knowledge Distillation

Deep Multiple Instance Learning with Distance-Aware Self-Attention

Benchmarking White Blood Cell Classification Under Domain Shift

Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning

Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification

Exploring shared memory architectures for end-to-end gigapixel deep learning

Towards Arbitrary-scale Histopathology Image Super-resolution: An Efficient Dual-branch Framework based on Implicit Self-texture Enhancement

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides

OCELOT: Overlapped Cell on Tissue Dataset for Histopathology

Whole-slide-imaging Cancer Metastases Detection and Localization with Limited Tumorous Data

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

Increasing the usefulness of already existing annotations through WSI registration

Deep Learning for Predicting Metastasis on Melanoma WSIs

Simple and Efficient Confidence Score for Grading Whole Slide Images

Comparing 3D deformations between longitudinal daily CBCT acquisitions using CNN for head and neck radiotherapy toxicity prediction

Domain adaptation using optimal transport for invariant learning using histopathology datasets

Deep Learning-enabled Virtual Histological Staining of Biological Samples

Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning

Automated risk classification of colon biopsies based on semantic segmentation of histopathology images

RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy

Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics

convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer

N2V2 -- Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture

Interpretable HER2 scoring by evaluating clinical Guidelines through a weakly supervised, constrained Deep Learning Approach

Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations

Gold-standard of HER2 breast cancer biopsies using supervised learning based on multiple pathologist annotations

ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification

Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images