医学 AI

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

Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology

Stefan Thurner, Markus C. Feurstein, Malvin C. Teich

专题命中 病理影像 ：pathology(title)；分类 q-bio

Comments 5 pages, 4 figures, to appear in Phys. Rev. Letters

Journal ref Pysical Review Letters, Volume 80, Number 7, 1544-1547 (1998).

Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays

利用专家输入实现稳健且可解释的AI辅助肺癌检测

Amy Rafferty, Rishi Ramaesh, Ajitha Rajan

机构 * School of Informatics, University of Edinburgh（信息学院，爱丁堡大学） ； NHS Lothian（洛锡安国家健康服务） 纠错

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

AI总结 本文研究了基于InceptionV3的肺癌检测模型的可解释性和鲁棒性，提出ClinicXAI方法，通过专家驱动的思路生成临床相关解释，并在对抗攻击下表现出更强的鲁棒性。

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model

通过金字塔特征提取和UNI基础模型实现自动化病理报告生成

Ahmet Halici, Ece Tugba Cebeci, Musa Balci, Mustafa Cini, Serkan Sokmen

机构 * ViseurAI 纠错

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

AI总结 本文提出基于UNI基础模型和Transformer解码器的框架，通过金字塔特征提取和生物医学术语分词技术，实现全切片图像的自动化报告生成，并通过检索验证提升可靠性。

Comments 9 pages. Equal contribution: Ahmet Halici, Ece Tugba Cebeci, Musa Balci

Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions

从癌症组织病理学生成跨模态基因表达以提高多模态AI预测

Samiran Dey, Christopher R. S. Banerji, Partha Basuchowdhuri, Sanjoy K. Saha, Deepak Parashar, Tapabrata Chakraborti

机构 * School of Mathematical & Computational Sciences, Indian Association for the Cultivation of Science（数学与计算科学学院，印度科学培养协会） ； The Alan Turing Institute（艾伦·图灵研究所） ； Comprehensive Cancer Center, King’s College London（国王学院综合癌症中心） ； Department of Computer Science and Engineering, Jadavpur University（计算机科学与工程系，贾瓦德pur大学） ； MRC Biostatistics Unit, University of Cambridge（剑桥大学医学研究委员会生物统计学单位） ； Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University（生物统计学、生物信息学与生物数学系，杰斐逊大学） ； UCL Cancer Institute, Dept of Medical Physics & Biomedical Engineering, University College London（伦敦大学学院癌症研究所，医学物理与生物医学工程系） 纠错

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

AI总结 PathGen通过生成跨模态基因表达提升癌症分级和生存风险预测的多模态AI性能

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images

在脑部MRI图像中快速且精确搜索矩形肿瘤区域的方法

Hidenori Takeshima, Shuki Maruyama

机构 * Software Technologies Group, MRI Systems Development Department, MRI Systems Division, Canon Medical Systems Corporation, Tochigi, Japan（Canon医疗系统公司软件技术组、MRI系统开发部、MRI系统事业部，Tochigi） 纠错

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

AI总结 本文提出了一种快速且精确的脑部MRI图像中矩形肿瘤区域搜索方法，通过改进的分割网络和快速搜索算法，提升了搜索效率和精度。