ADAPTIVE FEATURE FUSION AND CONFIDENCE-AWARE ENSEMBLE LEARNING FOR AUTOMATED BREAST CANCER GRADING.

Manual evaluation of mitotic activity & nuclear atypia is laborious and prone to inter-observer variability; yet, accurate classification of breast cancer using histopathological pictures is essential for diagnosis and therapy planning. Automatic cancer of the breast grading using the MITOS-ATYPIA-1...

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Detalles Bibliográficos

Publicado en:	Scientific Culture Vol. 12; no. 5; pp. 296 - 308
Autores principales:	Maheshwari, Neerudu Uma, SatheesKumaran, S.
Formato:	Artículo
Publicado:	University of the Aegean 2026
Materias:	Tumor grading Data fusion (Statistics) Ensemble learning Classification algorithms Computer-assisted image analysis (Medicine) Image segmentation Cell cycle Cell nuclei
Acceso en línea:	Ver este registro en EBSCOhost