New Cancer Detection Findings from Pakistan Institute of Engineering and Applied Sciences Described (A Comprehensive Systematic Review: Advancements In Skin Cancer Classification and Segmentation Using the Isic Dataset).

A study conducted by the Pakistan Institute of Engineering and Applied Sciences explores advancements in skin cancer detection using the International Skin Imaging Collaboration (ISIC) datasets. These datasets contain dermoscopic photographs of skin lesions accompanied by gold-standard diagnosis metadata. The study reviews the use of convolutional neural networks (CNNs) and Vision Transformers (ViTs) in skin cancer classification and segmentation, addressing challenges such as data duplication and augmentation. The research emphasizes the importance of mathematical and computational modeling in improving algorithmic performance and interpretability. This study provides valuable insights for researchers and practitioners interested in utilizing ViTs for dermatological image analysis. [Extracted from the article]