Deep Learning in Selected Cancers' Image Analysis-A Survey.

ABSTRACT: Deep learning algorithms have become the first choice as an approach to medical image analysis, face recognition, and emotion recognition. In this survey, several deep-learning-based approaches applied to breast cancer, cervical cancer, brain tumor, colon and lung cancers are studied and reviewed. Deep learning has been applied in almost all of the imaging modalities used for cervical and breast cancers and MRIs for the brain tumor. The result of the review process indicated that deep learning methods have achieved state-of-the-art in tumor detection, segmentation, feature extraction and classification. As presented in this paper, the deep learning approaches were used in three different modes that include training from scratch, transfer learning through freezing some layers of the deep le

SUBMITTER: Debelee TG 

PROVIDER: S-EPMC8321208 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature