ConvSegNet: Automated Polyp Segmentation From Colonoscopy Using Context Feature Refinement With Multiple Convolutional Kernel Sizes

Autor: Ayokunle Olalekan Ige, Nikhil Kumar Tomar, Felix Ola Aranuwa, Oluwafemi Oriola, Alaba O. Akingbesote, Mohd Halim Mohd Noor, Manuel Mazzara, Benjamin Segun Aribisala

Publikováno v: IEEE Access, Vol 11, Pp 16142-16155 (2023)

Colorectal cancer occurs in the rectal of humans, and early detection has been proved to reduce its mortality rate. Colonoscopy is the standard used in detecting the presence of polyps in the rectal, and accurate segmentation of the polyps from colon

Externí odkaz: https://doaj.org/article/dc5805b5a5124272815a4ac2c8082de7

Statistical evaluation of the impact of ICT on Nigerian universities.

Autor: Babatunde, Iwasokun Gabriel, Boniface Kayode, Alese, Aderonke, Thompson, Bethy, Favour, Felix Ola, Aranuwa

Publikováno v: International Journal of Education & Development using Information & Communication Technology; 2012, Vol. 8 Issue 1, p104-120, 17p, 10 Charts