医学 AI

Self-Supervised Similarity Learning for Digital Pathology

Jacob Gildenblat, Eldad Klaiman

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

Breast Cancer Diagnosis by Higher-Order Probabilistic Perceptrons

Aditya Cowsik, John W. Clark

专题命中 病理影像 ：diagnosis(title,abstract)；分类 cs.LG

CNNs, LSTMs, and Attention Networks for Pathology Detection in Medical Data

Nora Vogt

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

Comments Master thesis

Voice Pathology Detection Using Deep Learning: a Preliminary Study

Pavol Harar, Jesus B. Alonso-Hernandez, Jiri Mekyska, Zoltan Galaz, Radim Burget, Zdenek Smekal

专题命中 病理影像 ：pathology(title,abstract)；分类 cs.LG

Comments 4 pages, 1 figure, 5 tables

Journal ref In 2017 international conference and workshop on bioinspired intelligence (IWOBI), pp. 1-4. IEEE, 2017

Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology

Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise

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

Comments Accepted to CVPR 2019

Fast GPU-Enabled Color Normalization for Digital Pathology

Goutham Ramakrishnan, Deepak Anand, Amit Sethi

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

Raster Grid Pathology and the Cure

Albert Fannjiang

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

Capsule Networks for Brain Tumor Classification based on MRI Images and Course Tumor Boundaries

Parnian Afshar, Konstantinos N. Plataniotis, Arash Mohammadi

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

Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach

Amal Lahiani, Jacob Gildenblat, Irina Klaman, Shadi Albarqouni, Nassir Navab, Eldad Klaiman

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

Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations

Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer, Peter Boor, Dorit Merhof

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

Comments Submitted to ISBI'19

Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation

Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev

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

Classification and Retrieval of Digital Pathology Scans: A New Dataset

Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, H. R. Tizhoosh

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

Comments Accepted for presentation at Workshop for Computer Vision for Microscopy Image Analysis (CVMI 2017) @ CVPR 2017, Honolulu, Hawaii

Iris: A Next Generation Digital Pathology Rendering Engine

Ryan Erik Landvater, Ulysses Balis

专题命中 病理影像 ：pathology(title,abstract)

Comments 11 pages, 8 figures

Journal ref Journal of Pathology Informatics, 16, 100414 (2025)

Fully Automatic Content-Aware Tiling Pipeline for Pathology Whole Slide Images

Falah Jabar, Lill-Tove Rasmussen Busund, Biagio Ricciuti, Masoud Tafavvoghi, Mette Pøhl, Sigve Andersen, Tom Donnem, David J. Kwiatkowski, Mehrdad Rakaee

专题命中 病理影像 ：pathology(title,abstract)；medical image(comments)

Comments Submitted to Medical Image Analysis journal, February 2025

Embedded Sensor System for Early Pathology Detection in Building Construction

Santiago J. Barro Torres, Carlos J. Escudero Cascon

专题命中 病理影像 ：pathology(title,abstract)

Comments International Journal of Computer Science Issues, Volume 1, pp26-35, August 2009

Journal ref S.J. B. Torres and C. J. E. Cascon, " Embedded Sensor System for Early Pathology Detection in Building Construction", International Journal of Computer Science Issues, Volume 1, pp26-35, August 2009

Multimodal Alignment Improves Generalizability of Genomic Biomarker Prediction in Computational Pathology

多模态对齐提升了计算病理学中基因组生物标志物预测的泛化能力

Ekaterina Redekop, Eric Zimmermann, Ava P Amini, Alex X Lu, Neil Tenenholtz, James Brian Hall, Lorin Crawford, Kristen A Severson

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

AI总结 MARBLE通过多模态对比预训练策略，将组织病理学图像与基因组生物标志物的表示对齐，提升计算病理学中基因组生物标志物预测的泛化能力。

Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow

超越监视器：混合现实可视化与多模态AI用于增强的数字病理学工作流程

Jai Prakash Veerla, Partha Sai Guttikonda, Helen H. Shang, Mohammad Sadegh Nasr, Cesar Torres, Jacob M. Luber

机构 * Department of Computer Science and Engineering, University of Texas at Arlington（计算机科学与工程系，德克萨斯大学阿灵顿分校） ； Department of Medicine Division of Hematology-Oncology, UCLA（医学系血液肿瘤学分会，加州大学洛杉矶分校） ； Center for Innovation in Health Informatics, University of Texas at Arlington（健康信息创新中心，德克萨斯大学阿灵顿分校） 纠错

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

AI总结 PathVis通过混合现实和多模态AI优化数字病理学工作流程，提升诊断效率与准确性。

Explainable AI for computational pathology identifies model limitations and tissue biomarkers

可解释AI用于计算病理学识别模型限制和组织生物标志物

Jakub R. Kaczmarzyk, Chanwoo Kim, Soham Gadgil, Deepika Savant, Zhen Zhao, Joel H. Saltz, Su-In Lee, Peter K. Koo

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

AI总结 HIPPO通过可解释AI方法识别模型限制和组织生物标志物，提升数字病理学中模型的可解释性和临床应用价值。

Comments The following authors contributed equally: Jakub R. Kaczmarzyk, Chanwoo Kim, Soham Gadgil

Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models

Runchen Wang, Junlin Guo, Siqi Lu, Ruining Deng, Zhengyi Lu, Yanfan Zhu, Yuechen Yang, Chongyu Qu, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo

机构 * Vanderbilt University（范德比尔特大学） ； Weill Cornell Medicine（韦尔医学院） ； Vanderbilt University Medical Center（范德比尔特大学医学中心） ； Department of Electrical and Computer Engineering（电气与计算机工程系） ； Department of Radiology（放射科） ； Department of Computer Science（计算机科学系） ； Department of Biostatistics（生物统计学系） ； Department of Pathology, Microbiology and Immunology（病理学、微生物学和免疫学系） 纠错

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

ORCA: A Comprehensive AI-Driven Platform for Digital Pathology Analysis and Biomarker Discovery

Noor Shaker, Mohamed AbouZleikha, Nuha Shaker

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

Comments 15 pages, 4 figures

The Next Layer: Augmenting Foundation Models with Structure-Preserving and Attention-Guided Learning for Local Patches to Global Context Awareness in Computational Pathology

Muhammad Waqas, Rukhmini Bandyopadhyay, Eman Showkatian, Amgad Muneer, Anas Zafar, Frank Rojas Alvarez, Maricel Corredor Marin, Wentao Li, David Jaffray, Cara Haymaker, John Heymach, Natalie I Vokes, Luisa Maren Solis Soto, Jianjun Zhang, Jia Wu

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

Comments 43 pages, 7 main Figures, 8 Extended Data Figures

Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation models

Jakub R. Kaczmarzyk, Sarah C. Van Alsten, Alyssa J. Cozzo, Rajarsi Gupta, Peter K. Koo, Melissa A. Troester, Katherine A. Hoadley, Joel H. Saltz

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

CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images

Sungrae Hong, Sol Lee, Mun Yong Yi

机构 * Korea Advanced Institute of Science and Technology（韩国科学技术院） 纠错

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

Comments 5 pages, 5 figures

Brain Tumor Detection through Thermal Imaging and MobileNET

Roham Maiti, Debasmita Bhoumik

机构 * Sister Nivedita University, Kolkata, India（锡尔·尼维达大学，加尔各答，印度） 纠错

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

Prostate-Specific Foundation Models for Enhanced Detection of Clinically Significant Cancer

Jeong Hoon Lee, Cynthia Xinran Li, Hassan Jahanandish, Indrani Bhattacharya, Sulaiman Vesal, Lichun Zhang, Shengtian Sang, Moon Hyung Choi, Simon John Christoph Soerensen, Steve Ran Zhou, Elijah Richard Sommer, Richard Fan, Pejman Ghanouni, Yuze Song, Tyler M. Seibert, Geoffrey A. Sonn, Mirabela Rusu

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

Comments 44pages

ProjectedEx: Enhancing Generation in Explainable AI for Prostate Cancer

Xuyin Qi, Zeyu Zhang, Aaron Berliano Handoko, Huazhan Zheng, Mingxi Chen, Ta Duc Huy, Vu Minh Hieu Phan, Lei Zhang, Linqi Cheng, Shiyu Jiang, Zhiwei Zhang, Zhibin Liao, Yang Zhao, Minh-Son To

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

Text-Driven Tumor Synthesis

Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Qilong Wu, Pengfei Guo, Dong Yang, Can Zhao, Pedro R. A. S. Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan Yuille, Zongwei Zhou

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

Machine learning approach to brain tumor detection and classification

Alice Oh, Inyoung Noh, Jian Choo, Jihoo Lee, Justin Park, Kate Hwang, Sanghyeon Kim, Soo Min Oh

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

Comments 7 pages, 2 figures, 2 tables

AI generated annotations for Breast, Brain, Liver, Lungs and Prostate cancer collections in National Cancer Institute Imaging Data Commons

Gowtham Krishnan Murugesan, Diana McCrumb, Rahul Soni, Jithendra Kumar, Leonard Nuernberg, Linmin Pei, Ulrike Wagner, Sutton Granger, Andrey Y. Fedorov, Stephen Moore, Jeff Van Oss

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

CC-DCNet: Dynamic Convolutional Neural Network with Contrastive Constraints for Identifying Lung Cancer Subtypes on Multi-modality Images

Yuan Jin, Gege Ma, Geng Chen, Tianling Lyu, Jan Egger, Junhui Lyu, Shaoting Zhang, Wentao Zhu

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