WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question
Answering

WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering

8 July 2024

Sunyi Zheng

Lin Yang

Papers citing "WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering"

6 / 6 papers shown

Title
VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction Zizhi Chen Minghao Han Xukun Zhang Shuwei Ma Tao Liu Xing Wei L. Zhang 44 0 0 25 Mar 2025
Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Clinical Pathology Analysis Shengxuming Zhang Weihan Li Tianhong Gao Jiacong Hu Haoming Luo Mingli Song Xiuming Zhang Mingli Song Zunlei Feng LM&MA 101 0 0 12 Dec 2024
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding Ying Chen Guoan Wang Yuanfeng Ji Yanjun Li Jin Ye Tianbin Li Bin Zhang Nana Pei Rongshan Yu Yu Qiao VLM LM&MA 51 2 0 15 Oct 2024
Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training Zhihong Chen Yu Du Jinpeng Hu Yang Liu Guanbin Li Xiang Wan Tsung-Hui Chang 79 111 0 15 Sep 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 298 5,761 0 29 Apr 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 146 156 0 20 Oct 2020