Advances in diagnosis and treatment of basal cell carcinoma with artificial intelligence
10.16781/j.0258-879x.2019.05.0471
- Author:
Zhuo CHEN
1
Author Information
1. Department of Dermatology, Changhai Hospital, Naval Medical University (Second Military Medical University)
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Basal cell carcinoma;
Clinical manifestation;
Differential diagnosis;
Pathology
- From:
Academic Journal of Second Military Medical University
2019;40(5):471-477
- CountryChina
- Language:Chinese
-
Abstract:
[Abstract] Basal cell carcinoma (BCC) is one of the most common skin tumors. Dermatologists can make a preliminary diagnosis according to the location and characteristic appearance of the lesions, make a probable diagnosis through analyzing the images by dermoscopy and other non-invasive examination methods, and make a final definite diagnosis by combining histopathology with clinical data. In recent years, with the development of artificial intelligence (AI), it is available to use machine vision for automatic image recognition and analysis. Computer-aided diagnosis system can establish artificial neural network by deep learning great clinical, dermoscopic and histopathological picture data to assist professional physicians to make analysis and judgment on difficult diseases. This is helpful for early diagnosis of skin tumor, elevation the diagnosis capability of junior doctors, and workload reduction of pathologists. Here we reviewed the research progresses of diagnosis and treatment of BCC in AI field at home and abroad.
