计算机科学
背景(考古学)
乳腺癌
转移
癌症
癌症转移
人工智能
机器学习
医学
内科学
生物
古生物学
作者
Wutong Zhang,Chuang Zhu,Jun Liu,Ying Wang,Mulan Jin
标识
DOI:10.1145/3373509.3373567
摘要
Breast cancer is one of the leading causes of death by cancer in women, and it often requires accurate detection of metastasis in lymph nodes through Whole-slide Images (WSIs). At present, there are many algorithms of cancer metastasis detection based on CNN, which are generally patch-level models, aiming for increasing the sensitivity, speed, and consistency of metastasis detection. However, most of these algorithms use patch as an independent individual to train, which leads to the neglect of much important spatial context information in WSI
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