CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio

Histopathology image analysis plays a crucial role in cancer diagnosis. However, training a clinically applicable segmentation algorithm requires pathologists to engage in labour-intensive labelling. In contrast, weakly supervised learning methods, which only require coarse-grained labels at the ima...

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Hauptverfasser:	Xu, Gang, Wang, Shuhao, Zhao, Lingyu, Chen, Xiao, Wang, Tongwei, Wang, Lang, Luo, Zhenwei, Wang, Dahan, Zhang, Zewen, Liu, Aijun, Ba, Wei, Song, Zhigang, Shi, Huaiyin, Zhong, Dingrong, Ma, Jianpeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition
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