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May, 2020
有限数据访问情境下的深度学习结肠癌检测研究
A Study of Deep Learning Colon Cancer Detection in Limited Data Access Scenarios
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Apostolia Tsirikoglou, Karin Stacke, Gabriel Eilertsen, Martin Lindvall, Jonas Unger
TL;DR
该研究使用基于深度学习的模型探讨了在组织分类问题中,通过利用组织之间的结构特征解决数据不足的问题。研究进一步表明,借助少量或无淋巴节点数据,利用原始肿瘤组织或通过Cycle-GANs变换的乳腺癌数据训练的模型可以用于发现其他器官的癌症细胞扩散情况。
Abstract
Digitization of
histopathology
slides has led to several advances, from easy data sharing and collaborations to the development of digital diagnostic tools.
deep learning
(DL) methods for classification and detec
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