Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning

dc.contributor.author	Wasi, Sefatul
dc.contributor.author	Alam, bdSaadia Binte
dc.contributor.author	Rahman, Rashedur
dc.contributor.author	Amin, M Ashraful
dc.contributor.author	Kobashi, Syoji
dc.date.accessioned	2023-10-10T10:19:05Z
dc.date.available	2023-10-10T10:19:05Z
dc.date.issued	2023-10
dc.identifier.uri	https://ar.iub.edu.bd/handle/123456789/579
dc.description.abstract	Kidney tumor is a health concern that affects kidney cells and may leads to mortality depending on their type. Benign tumors can be unproblematic whereas malignant tumors pose the threat of kidney cancer. Early detection and diagnosis are possible through kidney tumor recognition based on deep learning techniques. In this paper, a method based on transfer learning using deep convolutional neural network (DCNN) is proposed to recognize kidney tumor from computed tomography (CT) images. The proposed method was evaluated on 5284 images. The final accuracy, precision, recall, specificity and F1 score were 92.54%, 80.45%, 93.02%, 92.38% and 0.8628, respectively.	en_US
dc.publisher	Independent University, Bangladesh (IUB)	en_US
dc.subject	kidney tumor recognition	en_US
dc.subject	computed tomography	en_US
dc.subject	deep convolutional neural networks	en_US
dc.subject	transfer learning	en_US
dc.title	Kidney Tumor Recognition from Abdominal CT Images using Transfer Learning	en_US
dc.type	Article	en_US