International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 4 October-December 2025 Submit your research before last 3 days of December to publish your research paper in the issue of October-December.

A Review of Kidney Cancer Using Multi-Modal Imaging for Computer Aided Diagnosis System using Deep Learning

Author(s) Ms. Iswarya C
Country India
Abstract Kidney cancer is a growing global health concern, and early detection is crucial for improving patient outcomes. Multi-modal imaging techniques such as CT, MRI, and ultrasound provide complementary information for accurate tumor diagnosis. Deep learning-based Computer-Aided Diagnosis systems enhance these imaging methods by enabling automated, efficient, and reliable detection and classification of kidney tumors.
Keywords Kidney Cancer,Multi-Modal Imaging,CT Imaging,MRI Imaging,Ultrasound Imaging,Computer-Aided Diagnosis (CAD).
Field Computer > Data / Information
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-11-30

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