id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2347	Soumya Koshy	Cutting-Edge Deep Learning Strategies for Precise Ovarian Disease Detection: A Comprehensive Review	2024	11	.pdf	application/pdf	3860	212	37	Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), along with their specialized variations, have been utilized to tackle the specific difficulties presented by ovarian medical image segmentation. In this study, we evaluated several deep learning models, starting with the baseline U-Net and moving to more advanced architectures, including U-Net variants with ResNet and DenseNet backbones, CR- Unet, Ocys-Net, and an ensemble model.	cache/cana-2347.pdf	txt/cana-2347.txt