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Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary
  Learning Framework for Abnormality Detection and Report Generation

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation

18 December 2024
Jinghan Sun
Dong-mei Wei
Zhe Xu
Donghuan Lu
Hong Liu
Hong Wang
Sotirios A. Tsaftaris
Steven G. McDonagh
Yefeng Zheng
Liansheng Wang
    MedIm
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Papers citing "Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation"

1 / 1 papers shown
Title
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
Sheng Zhang
Yanbo Xu
Naoto Usuyama
Hanwen Xu
J. Bagga
...
Carlo Bifulco
M. Lungren
Tristan Naumann
Sheng Wang
Hoifung Poon
LM&MA
MedIm
154
205
0
10 Jan 2025
1