A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification

G Alwakid, M Humayun, W Gouda - IEEE Access, 2024 - ieeexplore.ieee.org
Determining indicators or retinal wounds is essential for accurate diagnosis and retinal
disorders grading. To view the retinal microarchitecture and easily screen for anomalies …

[HTML][HTML] DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer

M Touati, R Touati, L Nana, F Benzarti… - Big Data and Cognitive …, 2025 - mdpi.com
Diabetic retinopathy, a common complication of diabetes, is further exacerbated by factors
such as hypertension and obesity. This study introduces the Diabetic Retinopathy Compact …

Beyond Glucose Levels: A Machine Learning Perspective on Type 2 Diabetes Prediction

A Aslam, A Ashraf, AU Rehman… - … on Emerging Trends …, 2024 - ieeexplore.ieee.org
Type 2 diabetes hinders the body from using insulin effectively. The primary source of fuel
for the human body is sugar. However, individuals with type 2 diabetes are unable to utilize …

[TRÍCH DẪN][C] Feature-Instance Based Fine-Tuning In Transfer Learning Model

RN Wanjiku - 2024 - JKUAT-COPAS