id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-10138	Babatunde, Akinbowale Nathaniel; Balogun, Bukola Fatimah; Olabode, Omosola Jacob; Awotunde, Joseph Bamidele; Imoize, Agbotiname Lucky	Breast cancer prediction using a pretrained CNN Model ResNet-50	2025	18	.pdf	application/pdf	8313	451	41	This study outlines the data preprocessing methods used to prepare breast cancer images for analysis with the pre-trained ResNet-50 model. The photos are ultimately processed by the already learned ResNet-50 model, which has been trained on extensive data and can identify critical features in breast cancer images.	cache/easat-10138.pdf	txt/easat-10138.txt
