Region Segmentation of Whole-Slide Images for Analyzing Histological Differentiation of Prostate Adenocarcinoma Using Ensemble EfficientNetB2 U-Net with Transfer Learning Mechanism

SIMPLE SUMMARY: Differentiating growth patterns of the tumor glands in prostate biopsy tissue images is a challenging task for pathologists. Therefore, advanced technology, especially deep learning techniques, is needed to improve cancer diagnosis and reduce the workload of the pathologist. In this...

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Detalles Bibliográficos
Autores principales: Ikromjanov, Kobiljon, Bhattacharjee, Subrata, Sumon, Rashadul Islam, Hwang, Yeong-Byn, Rahman, Hafizur, Lee, Myung-Jae, Kim, Hee-Cheol, Park, Eunhyang, Cho, Nam-Hoon, Choi, Heung-Kook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913745/
https://www.ncbi.nlm.nih.gov/pubmed/36765719
http://dx.doi.org/10.3390/cancers15030762

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