MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation

Li Zeng; Hongzhong Tang; Wei Wang; Mingjian Xie; Zhaoyang Ai; Lei Chen; Yongjun Wu

doi:10.1007/s11042-023-15065-x

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MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation

Li Zeng Hongzhong Tang Wei Wang Mingjian Xie Zhaoyang Ai Lei Chen Yongjun Wu

Year: 2023 Journal: Multimedia Tools and Applications Vol: 82 (25)Pages: 39349-39369 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-023-15065-x

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Keywords:

Computer science Artificial intelligence Segmentation Pattern recognition (psychology) Discriminative model Feature (linguistics) Pyramid (geometry) Deep learning Conditional random field Sørensen–Dice coefficient Image segmentation

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AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Radiomics and Machine Learning in Medical Imaging

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Medical Imaging and Analysis

Physical Sciences → Engineering → Biomedical Engineering

MAMC-Net: an effective deep learning framework for whole-slide image tumor segmentation

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