IEEE

DeepAD-Insight: A Benchmark Evaluation of Deep Learning Architectures for Multiclass Alzheimer’s Disease Classification and Staging from Brain MRI Data

Abstract: Alzheimer’s Disease (AD), a progressive neurode-generative condition, poses a significant public health challenge. Early and precise diagnosis is crucial for timely intervention and ...
IEEE

A Novel Transformer-CNN Hybrid Deep Learning Architecture for Robust Broad-Coverage Diagnosis of Eye Diseases on Color Fundus Images

Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...
GitHub

Brain Tumor MRI Classification

This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...