Artificial Intelligence Techniques for Prostate Cancer Detection through Dual-Channel Tissue Feature Engineering

SIMPLE SUMMARY: Artificial intelligence techniques were used for the detection of prostate cancer through tissue feature engineering. A radiomic method was used to extract the important features or information from histopathology tissue images to perform binary classification (i.e., benign vs. malig...

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Detalles Bibliográficos
Autores principales: Kim, Cho-Hee, Bhattacharjee, Subrata, Prakash, Deekshitha, Kang, Suki, Cho, Nam-Hoon, Kim, Hee-Cheol, Choi, Heung-Kook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036750/
https://www.ncbi.nlm.nih.gov/pubmed/33810251
http://dx.doi.org/10.3390/cancers13071524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036750/
https://www.ncbi.nlm.nih.gov/pubmed/33810251
http://dx.doi.org/10.3390/cancers13071524

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