Open AccessResearch on the classification of lymphoma pathological images based on deep residual neural network
Author(s) -
Xiaoli Zhang,
Kuixing Zhang,
Mei Jiang,
Lin Yang
Publication year - 2021
Publication title -
technology and health care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 44
eISSN - 1878-7401
pISSN - 0928-7329
DOI - 10.3233/thc-218031
Subject(s) - softmax function , artificial intelligence , computer science , artificial neural network , pattern recognition (psychology) , preprocessor , deep learning , data set , residual , data pre processing , algorithm
Malignant lymphoma is a type of tumor that originated from the lymphohematopoietic system, with complex etiology, diverse pathological morphology, and classification. It takes a lot of time and energy for doctors to accurately determine the type of lymphoma by observing pathological images.