Work

DenSFFNet: dense spiking forward fractional network for cardiovascular risk prediction using retinal fundus images in spark framework

Year: 2025

Type: article

Source: Archives of Physiology and Biochemistry

DOI: 10.1080/13813455.2025.2503478

Authors: Kanchanamala P., Anuradha G., Radhika Gouni

Institutions: GMR Institute of Technology, Siddhartha Academy of Higher Education, DirecTV (United States)

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4411146538

FWCI: 0.529

Cites: 35

Cited by: 1

Related to: 10