Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation

Ziniu Qian; Kailu Li; Maode Lai; Eric Chang; Bingzheng Wei; Yubo Fan; Yan Xu

doi:10.1007/978-3-031-16434-7_16

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Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation

Ziniu Qian Kailu Li Maode Lai Eric Chang Bingzheng Wei Yubo Fan Yan Xu

Year: 2022 Lecture notes in computer science Pages: 160-170 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-16434-7_16

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Keywords:

Computer science Segmentation Artificial intelligence Image segmentation Pattern recognition (psychology) Supervised learning Transformer Scale-space segmentation Machine learning Segmentation-based object categorization Artificial neural network

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AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Digital Imaging for Blood Diseases

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Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Transformer Based Multiple Instance Learning for Weakly Supervised Histopathology Image Segmentation

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