Deep Learning for Early Diagnosis: Enhancing Medical Imaging for Disease Detection
DOI:
https://doi.org/10.48047/vs1v9834Keywords:
Deep Learning, Medical Imaging, Disease Detection, Early Diagnosis, Artificial Intelligence (AI)Abstract
This study investigates the application of deep learning in the early diagnosis of diseases through medical
imaging, focusing on four key areas: chest X-ray disease detection, Alzheimer’s disease classification from
brain MRI, diabetic retinopathy detection from retinal scans, and COVID-19 detection from chest X-rays.
We evaluate multiple deep learning models, including ResNet-50, DenseNet-121, VGG-16, TransformerViT, and custom CNN architectures, across various performance metrics such as accuracy, precision, recall,
F1-score, and AUC-ROC.
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