Few-shot breast cancer metastases classification via unsupervised cell ranking

• Main Authors: CHEN, Jiaojiao, JIAO, Jianbo, HE, Shengfeng, HAN, Guoqiang, QIN, Jing
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Breast cancer; Pathology; Tumors; Machine learning; Training data; Task analysis; Few-shot learning; metastases classification; unsupervised learning; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7859
• Institution: Singapore Management University

Tumor metastases detection is of great importance for the treatment of breast cancer patients. Various CNN (convolutional neural network) based methods get excellent performance in object detection/segmentation. However, the detection of metastases in hematoxylin and eosin (H&E) stained whole-sl...