Work

An Integrated Deep Learning Model to Analyze CT Scans for Minimally Invasive Accurate Classification of T1a Small Renal Masses

Year: 2024

Type: conference-paper

Source: International Conference on Biomedical Imaging, Signal Processing (ICBSP)

DOI: 10.1145/3707172.3707173

Authors: Fnu Neha, Arvind K. Bansal

Institution: Kent State University

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4406533002

FWCI: 0.294

Cites: 33

Cited by: 1

Related to: 10