Abstract: Automated systems for skin cancer detection (ASCD) powered by Artificial Intelligence (AI) and Deep Learning (DL) have become critical tools in improving diagnostic accuracy, offering a ...
The final, formatted version of the article will be published soon. Abstract-The potato is one of the most consumed vegetable crops worldwide. However, environmental changes and various crop diseases ...
Abstract: Millions of people worldwide suffer from skin diseases, and they require timely and accurate diagnosis. COVID-19 has also complicated dermatological conditions due to virus-induced ...
Goal: Build AI model to detect leukemia from blood cell images Dataset: C-NMC Leukemia Dataset (Gupta & Gupta, 2019) Method: Convolutional Neural Networks (CNN) with Transfer Learning Deliverable: ...
Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...
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