Medical Image Analysis for Skin Disease Diagnosis

Development of AI-based models for skin disease diagnosis. Research combines CNNs with imbalanced learning techniques including custom loss functions and mini-batch strategies. Research on Deep Neural Network Techniques for Melanoma Image Prediction: Study image analysis and processing techniques, as well as artificial intelligence methods, particularly those based on large-scale data representation and deep learning approaches. Propose solutions that apply artificial intelligence techniques to image analysis and processing, specifically for image segmentation and anomaly detection. Collect and select image datasets related to skin melanoma. Conduct experiments and evaluate image analysis and classification solutions for detecting pigmentation issues associated with melanoma, a type of skin cancer. Collect data, prepare research papers, present at specialized conferences, and publish research results.