MelanoScan: Comparative Analysis and Optimization of Pretrained Convolutional Neural Network (CNN) for Early Detection of Skin Cancer

Meitriana Nurelifah | Indonesia

MelanoScan: Comparative Analysis and Optimization of Pretrained Convolutional Neural Network (CNN) for Early Detection of Skin Cancer

Meitriana Nurelifah

Indonesia

Detail

MelanoScan is an Android-based application developed to support early detection of melanoma, a dangerous type of skin cancer that requires fast and accurate identification. This system uses part of Deep Learning by implementing three Convolutional Neural Network (CNN) models, namely MobileNetV2, EfficientNetB3, and ResNet50, which have been converted into TensorFlow Lite (TFLite) to ensure smooth and offline processing on mobile devices.