Histopathology-driven prostate cancer identification: A VBIR approach with CLAHE and GLCM insights.

Autor: Rangaiah PKB; Microwaves in Medical Engineering Group, Division of Solid State Electronics, Department of Electrical Engineering, Uppsala University, Box 65 SE-751 03, Uppsala, Sweden., Pradeep Kumar BP; Department of Computer Science and Design, Atria Institute of Technology, Bengaluru 560024, India., Augustine R; Microwaves in Medical Engineering Group, Division of Solid State Electronics, Department of Electrical Engineering, Uppsala University, Box 65 SE-751 03, Uppsala, Sweden. Electronic address: Robin.Augustine@angstrom.uu.se.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Nov; Vol. 182, pp. 109213. Date of Electronic Publication: 2024 Oct 02.