AI Medical Imaging with ResNet50 for Eye Disease Classification
Eye diseases such as cataracts, diabetic retinopathy, and glaucoma are significant contributors to vision impairment worldwide. Early detection of these conditions is crucial for effective management and treatment. A deep learning-based approach, using models like ResNet50, can significantly aid in the diagnosis of these eye diseases from retinal images, improving both accuracy and efficiency. Click […]
AI Medical Diagnosis with ResNet50 for Brain Tumor Detection
Brain tumors such as glioma, meningioma, and pituitary tumors pose significant health risks and can be life-threatening if not detected early. Using deep learning techniques, particularly ResNet50, for classification of brain MRI scans can enhance diagnostic accuracy. This approach facilitates the identification of various tumor types, aiding in timely treatment. Click here to view the […]
AI in Hematology with ResNet50 for Blood Cancer Classification
Blood cancers, including various forms of leukemia, are a critical area of medical research due to their complex nature and varying treatment approaches. Early and accurate diagnosis is essential for effective treatment, and deep learning models can assist in identifying different types of blood cancers. A model such as ResNet50 can be applied to classify […]