医学 AI

Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization

James M. Dolezal, Sara Kochanny, Emma Dyer, Andrew Srisuwananukorn, Matteo Sacco, Frederick M. Howard, Anran Li, Prajval Mohan, Alexander T. Pearson

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

NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models

Aman Shrivastava, P. Thomas Fletcher

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

Comments 10 pages, 3 figures

Deep Learning Provides Rapid Screen for Breast Cancer Metastasis with Sentinel Lymph Nodes

Kareem Allam, Xiaohong Iris Wang, Songlin Zhang, Jianmin Ding, Kevin Chiu, Karan Saluja, Amer Wahed, Hongxia Sun, Andy N. D. Nguyen

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

Comments 9 pages, 3 figures, 5 tables

Giga-SSL: Self-Supervised Learning for Gigapixel Images

Tristan Lazard, Marvin Lerousseau, Etienne Decencière, Thomas Walter

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

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

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

Comments 26 Pages, 5 Figures

Journal ref BME Frontiers (2022)

A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations

Bangwei Guo, 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

Deep Learning based Prediction of MSI using MMR Markers in Colorectal Cancer

Ruqayya Awan, Mohammed Nimir, Shan E Ahmed Raza, Mohsin Bilal, Johannes Lotz, David Snead, Andrew Robinson, Nasir Rajpoot

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

Ensuring accurate stain reproduction in deep generative networks for virtual immunohistochemistry

Christopher D. Walsh, Joanne Edwards, Robert H. Insall

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

Comments Eighteen pages, six figures

A Standardized Pipeline for Colon Nuclei Identification and Counting Challenge

Jijun Cheng, Xipeng Pan, Feihu Hou, Bingchao Zhao, Jiatai Lin, Zhenbing Liu, Zaiyi Liu, Chu Han

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

Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups

Lucy Godson, Navid Alemi, Jeremie Nsengimana, Graham P. Cook, Emily L. Clarke, Darren Treanor, D. Timothy Bishop, Julia Newton-Bishop, Ali Gooya

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

Comments 8 pages (without appendices), 2 figures, submitted to MIDL 2022 conference proceedings

Novel Local Radiomic Bayesian Classifiers for Non-Invasive Prediction of MGMT Methylation Status in Glioblastoma

Mihir Rao

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

A Histopathology Study Comparing Contrastive Semi-Supervised and Fully Supervised Learning

Lantian Zhang, Mohamed Amgad, Lee A. D. Cooper

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

Comments 7 pages, 4 figures, 4 tables

Segmentation of Multiple Myeloma Plasma Cells in Microscopy Images with Noisy Labels

Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Danijel Skočaj

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

Comments Accepted to SPIE Medical Imaging conference

Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels

Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu

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

Comments 15 pages, 10 figures, journal

Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection

Trevor Doherty, Susan McKeever, Nebras Al-Attar, Tiarnan Murphy, Claudia Aura, Arman Rahman, Amanda O'Neill, Stephen P Finn, Elaine Kay, William M. Gallagher, R. William G. Watson, Aoife Gowen, Patrick Jackman

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

Comments 19 pages, 8 tables, 18 figures

MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi

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

Comments accepted by IEEE Transactions on Biomedical Engineering

Journal ref IEEE Transactions on Biomedical Engineering 2021

Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

Richard J. Chen, Ming Y. Lu, Muhammad Shaban, Chengkuan Chen, Tiffany Y. Chen, Drew F. K. Williamson, Faisal Mahmood

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

Comments MICCAI 2021

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer

Fan Wang, Saarthak Kapse, Steven Liu, Prateek Prasanna, Chao Chen

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

Comments 12 pages, 5 figures, 2 tables, accepted to International Conference on Information Processing in Medical Imaging (IPMI) 2021

Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

David Joon Ho, Narasimhan P. Agaram, Peter J. Schueffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs

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

Comments Accepted at MICCAI 2020

Uncovering the structure of clinical EEG signals with self-supervised learning

Hubert Banville, Omar Chehab, Aapo Hyvärinen, Denis-Alexander Engemann, Alexandre Gramfort

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

Comments 32 pages, 9 figures

Deep learning-based survival prediction for multiple cancer types using histopathology images

Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe

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

Journal ref PLOS ONE (2020)

Resolving challenges in deep learning-based analyses of histopathological images using explanation methods

Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder

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

Journal ref Sci Rep 10, 6423 (2020)

Joint 2D-3D Breast Cancer Classification

Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

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

Comments Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019

Neural parameters estimation for brain tumor growth modeling

Ivan Ezhov, Jana Lipkova, Suprosanna Shit, Florian Kofler, Nore Collomb, Benjamin Lemasson, Emmanuel Barbier, Bjoern Menze

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

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network

Yongxiang Huang, Albert Chi-shing Chung

专题命中 病理影像 ：diagnosis(abstract)；分类 cs.CV；medical image(journal_ref)；pathology(journal_ref)

Comments 8 pages, MICCAI workshop preceedings

Journal ref Computational Pathology and Ophthalmic Medical Image Analysis. Springer, Cham, 2018. 19-26

BACH: Grand Challenge on Breast Cancer Histology Images

Guilherme Aresta, Teresa Araújo, Scotty Kwok, Sai Saketh Chennamsetty, Mohammed Safwan, Varghese Alex, Bahram Marami, Marcel Prastawa, Monica Chan, Michael Donovan, Gerardo Fernandez, Jack Zeineh, Matthias Kohl, Christoph Walz, Florian Ludwig, Stefan Braunewell, Maximilian Baust, Quoc Dang Vu, Minh Nguyen Nhat To, Eal Kim, Jin Tae Kwak, Sameh Galal, Veronica Sanchez-Freire, Nadia Brancati, Maria Frucci, Daniel Riccio, Yaqi Wang, Lingling Sun, Kaiqiang Ma, Jiannan Fang, Ismael Kone, Lahsen Boulmane, Aurélio Campilho, Catarina Eloy, António Polónia, Paulo Aguiar

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

Comments Accepted for publication at Medical Image Analysis (Elsevier). Publication licensed under the Creative Commons CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/

Journal ref Medical Image Analysis, 2019

Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary Results

Vishwa S. Parekh, John Laterra, Chetan Bettegowda, Alex E. Bocchieri, Jay J. Pillai, Michael A. Jacobs

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

Comments 6 pages, 4 figure, 2 tables, radiomics, brain

Gravitational cell detection and tracking in fluorescence microscopy data

Nikomidisz Eftimiu, Michal Kozubek

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

Comments 5 pages, 2 figures, 1 formula, 1 table, submitted to the 21st International Symposium on Biomedical Imaging (ISBI 2024)

Preserving Dense Features for Ki67 Nuclei Detection

Seyed Hossein Mirjahanmardi, Melanie Dawe, Anthony Fyles, Wei Shi, Fei-Fei Liu, Susan Done, April Khademi

专题命中 病理影像 ：pathology(abstract,comments)；分类 q-bio、eess.IV

Comments Published in SPIE Medical Imaging 04/2022: Digital and Computational Pathology; 120390Y. Event: SPIE Medical Imaging, 2022, San Diego, California, United States

LUNG-KGMM: Knowledge-Guided Multimodal Learning for Lung Cancer Incidence Prediction

LUNG-KGMM：用于肺癌发病预测的知识引导多模态学习

Chunlei Yang, Shuyan Li, Zhong Cao

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

AI总结 本研究提出LUNG-KGMM知识引导多模态框架，整合多类数据与临床知识开展1-6年肺癌发病预测，经MIMIC及厦门队列验证，其性能优于现有方法且具备跨队列可迁移性。

Comments 22 pages, 4 figures, 7 tables, accepted by PRCV Oral

Journal ref The 9th Chinese Conference on Pattern Recognition and Computer Vision, PRCV2026