Lung, Chest, Skin, Brain and Breast Image Classification

The objective of Lung, Chest, Skin, Brain and Breast Image Classification is to develop a machine learning model that can accurately classify medical images of these five different body parts using deep learning techniques. The model can help in early detection and diagnosis of diseases such as lung cancer, breast cancer, and skin lesions, leading to more effective treatments.