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PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for
  Whole Slide Image Classification and Captioning

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning

13 March 2024
Qifeng Zhou
Wenliang Zhong
Yuzhi Guo
Michael Xiao
Hehuan Ma
Junzhou Huang
ArXivPDFHTML

Papers citing "PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning"

3 / 3 papers shown
Title
CLIP-IT: CLIP-based Pairing for Histology Images Classification
CLIP-IT: CLIP-based Pairing for Histology Images Classification
Banafsheh Karimian
Giulia Avanzato
Soufian Belharbi
Luke McCaffrey
Mohammadhadi Shateri
Eric Granger
VLM
46
0
0
22 Apr 2025
PathAlign: A vision-language model for whole slide images in
  histopathology
PathAlign: A vision-language model for whole slide images in histopathology
Faruk Ahmed
Andrew Sellergren
Lin Yang
Shawn Xu
Boris Babenko
...
S. Shetty
Daniel Golden
Yun-hui Liu
David F. Steiner
Ellery Wulczyn
LM&MA
VLM
29
13
0
27 Jun 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
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