MULTI CANCER PREDICTION USING DEEP LEARNING
International Research Journal of Modernization in Engineering Technology and Science · 2025
Deep learning approach is used to predict the chance of acquiring several types of malignancies, including breast, lung and skin cancer.To find patterns and risk factors linked to each kind of cancer, deep learning algorithms, such as convolutional neural networks and recurrent neural networks, are trained on enormous databases of patient data, including genetic markers, lifestyle variables, and medical history.Deep learning algorithms can accurately forecast an individual's risk of acquiring lung ,Skin, breast cancer by evaluating these intricate datasets.Results indicate varied performance across cancer types, with breast, lung, and skin cancer models exhibiting high accuracy (98%) and lower validation losses, suggesting strong generalization capabilities.These findings highlights the DL's potential in enhancing cancer detection, early diagnosis, and personalized treatment planning.