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...

Descripción completa

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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9913745/
https://www.ncbi.nlm.nih.gov/pubmed/36765719
http://dx.doi.org/10.3390/cancers15030762

Ejemplares similares