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Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis
v1v2v3 (latest)

Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis

12 December 2024
Shengxuming Zhang
Weihan Li
Tianhong Gao
Jiacong Hu
Haoming Luo
Xiuming Zhang
Jing Zhang
Weilong Dai
Zunlei Feng
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "Efficient and Comprehensive Feature Extraction in Large Vision-Language Model for Pathology Analysis"

2 / 2 papers shown
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology VideosComputer Vision and Pattern Recognition (CVPR), 2023
M. S. Seyfioglu
Wisdom O. Ikezogwo
Fatemeh Ghezloo
Ranjay Krishna
Linda G. Shapiro
530
97
0
07 Dec 2023
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for HistopathologyNeural Information Processing Systems (NeurIPS), 2023
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIPVLM
832
214
0
20 Jun 2023
1
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