Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors

As a form of artificial intelligence, artificial neural networks (ANNs) have the advantages of adaptability, parallel processing capabilities, and non-linear processing. They have been widely used in the early detection and diagnosis of tumors. In this article, we introduce the development, working...

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Detalles Bibliográficos
Autores principales: Mao, Wei-Bo, Lyu, Jia-Yu, Vaishnani, Deep K, Lyu, Yu-Man, Gong, Wei, Xue, Xi-Ling, Shentu, Yang-Ping, Ma, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2020
Materias:
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7520792/
https://www.ncbi.nlm.nih.gov/pubmed/33024753
http://dx.doi.org/10.12998/wjcc.v8.i18.3971
Descripción
Sumario:As a form of artificial intelligence, artificial neural networks (ANNs) have the advantages of adaptability, parallel processing capabilities, and non-linear processing. They have been widely used in the early detection and diagnosis of tumors. In this article, we introduce the development, working principle, and characteristics of ANNs and review the research progress on the application of ANNs in the detection and diagnosis of gastrointestinal and liver tumors.

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