医学 AI

SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images

Yicheng Song, Tiancheng Lin, Die Peng, Su Yang, Yi Xu

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology

Zhaoqing Chen, Jiawei Sun, Xibin Yang, Xinyi Ye, Bin Zhao, Xuelong Li, Juergen Czarske

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Quantifying Cancer Likeness: A Statistical Approach for Pathological Image Diagnosis

Toshiki Kindo

专题命中 病理影像 ：diagnosis(title)；分类 cs.CV

Comments 9 pages, 3 figures

The Impact of Speech Anonymization on Pathology and Its Limits

Soroosh Tayebi Arasteh, Tomas Arias-Vergara, Paula Andrea Perez-Toro, Tobias Weise, Kai Packhaeuser, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang

专题命中 病理影像 ：pathology(title)；分类 cs.LG

Comments Published in Communications Medicine

Journal ref Commun Med 4, (2024)

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning

Ekaterina Redekop, Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Flores, William Speier, Corey W. Arnold

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

Does context matter in digital pathology?

Paulina Tomaszewska, Mateusz Sperkowski, Przemysław Biecek

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments International Workshop Modelling and Representing Context at ECAI 2023

Transcriptomics-guided Slide Representation Learning in Computational Pathology

Guillaume Jaume, Lukas Oldenburg, Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson, Thomas Peeters, Andrew H. Song, Faisal Mahmood

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments CVPR'24, Oral

Diagnosis of Skin Cancer Using VGG16 and VGG19 Based Transfer Learning Models

Amir Faghihi, Mohammadreza Fathollahi, Roozbeh Rajabi

专题命中 病理影像 ：diagnosis(title)；分类 cs.CV

Comments 15 pages, journal

Multiple Instance Learning for Glioma Diagnosis using Hematoxylin and Eosin Whole Slide Images: An Indian Cohort Study

Ekansh Chauhan, Amit Sharma, Megha S Uppin, C. V. Jawahar, P. K. Vinod

专题命中 病理影像 ：diagnosis(title)；分类 cs.CV

A Survey on Graph-Based Deep Learning for Computational Histopathology

David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, Lars Petersson

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

Comments Preprint submitted to Computerized Medical Imaging and Graphics

Journal ref Volume 95, January 2022, 102027

DeepSet SimCLR: Self-supervised deep sets for improved pathology representation learning

David Torpey, Richard Klein

专题命中 病理影像 ：pathology(title)；分类 cs.CV

GDN: A Stacking Network Used for Skin Cancer Diagnosis

Jingmin Wei, Haoyang Shen, Ziyi Wang, Ziqian Zhang

专题命中 病理影像 ：diagnosis(title)；分类 cs.CV

Comments Published at ICSPS 2021

The effect of speech pathology on automatic speaker verification -- a large-scale study

Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang

专题命中 病理影像 ：pathology(title)；分类 cs.LG

Comments Published in Scientific Reports

Journal ref Sci Rep 13, 20476 (2023)

Hybrid quantum-classical graph neural networks for tumor classification in digital pathology

Anupama Ray, Dhiraj Madan, Srushti Patil, Maria Anna Rapsomaniki, Pushpak Pati

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

Comments submitted to ICASSP 2023

Embracing Annotation Efficient Learning (AEL) for Digital Pathology and Natural Images

Eu Wern Teh

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments Ph.D. Thesis of Eu Wern Teh

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization

Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia

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

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies

Bojing Liu, Yinxi Wang, Philippe Weitz, Johan Lindberg, Johan Hartman, Lars Egevad, Henrik Grönberg, Martin Eklund, Mattias Rantalainen

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

Comments 13 pages, 3 figures

DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis

Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments IEEE TMI 2022

Nuclei Segmentation in Histopathology Images using Deep Learning with Local and Global Views

Mahdi Arab Loodaricheh, Nader Karimi, Shadrokh Samavi

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

Comments 5 pages, 5 figures

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

Jiatai Lin, Guoqiang Han, Xipeng Pan, Hao Chen, Danyi Li, Xiping Jia, Zhenwei Shi, Zhizhen Wang, Yanfen Cui, Haiming Li, Changhong Liang, Li Liang, Zaiyi Liu, Chu Han

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

Comments 10 pages, 5 figures

Deep Learning models for benign and malign Ocular Tumor Growth Estimation

Mayank Goswami

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

Comments 22 Page, 10 Figures

Visualization for Histopathology Images using Graph Convolutional Neural Networks

Mookund Sureka, Abhijeet Patil, Deepak Anand, Amit Sethi

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

Comments 5 pages, 3 Figures

Robust Automatic Whole Brain Extraction on Magnetic Resonance Imaging of Brain Tumor Patients using Dense-Vnet

Sara Ranjbar, Kyle W. Singleton, Lee Curtin, Cassandra R. Rickertsen, Lisa E. Paulson, Leland S. Hu, J. Ross Mitchell, Kristin R. Swanson

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

Detecting Cancer Metastases on Gigapixel Pathology Images

Yun Liu, Krishna Gadepalli, Mohammad Norouzi, George E. Dahl, Timo Kohlberger, Aleksey Boyko, Subhashini Venugopalan, Aleksei Timofeev, Philip Q. Nelson, Greg S. Corrado, Jason D. Hipp, Lily Peng, Martin C. Stumpe

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments Fig 1: normal and tumor patches were accidentally reversed - now fixed. Minor grammatical corrections in appendix, section "Image Color Normalization"

Journal ref MICCAI Tutorial (2017)

OpenHI2 -- Open source histopathological image platform

Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li

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

Comments Preprint version accepted to AIPath2019 workshop at BIBM2019. 6 pages, 3 figures, 2 tables

Lung and Colon Cancer Histopathological Image Dataset (LC25000)

Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. DeLand, Stephen M. Mastorides

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

Comments 2 pages

Towards automated mobile-phone-based plant pathology management

Nantheera Anantrasirichai, Sion Hannuna, Nishan Canagarajah

专题命中 病理影像 ：pathology(title)；分类 cs.CV

Comments 13 pages, India-UK Advanced Technology Centre of Excellence in Next Generation Networks, Systems and Services (IU-ATC), 2010

Toward Efficient Breast Cancer Diagnosis and Survival Prediction Using L-Perceptron

Hadi Mansourifar, Weidong Shi

专题命中 病理影像 ：diagnosis(title)；分类 cs.LG

A Deep Learning Framework for Automatic Diagnosis in Lung Cancer

Nikolay Burlutskiy, Feng Gu, Lena Kajland Wilen, Max Backman, Patrick Micke

专题命中 病理影像 ：diagnosis(title)；分类 cs.CV

Comments Presented as a poster at Medical Imaging with Deep Learning (MIDL) in Amsterdam, 4-6th July 2018 (http://midl.amsterdam/)

An efficient FPGA implementation of MRI image filtering and tumor characterization using Xilinx system generator

S. Allin Christe, M. Vignesh, A. Kandaswamy

专题命中 病理影像 ：MRI(title)；分类 cs.CV

Comments 15 pages,14 figures,2 tables