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Leveraging Deep Learning for Skin Cancer Detection: Advances, Challenges, and Future Directions
Abstract
Skin cancer is one of the most common and potentially lethal forms of cancer, with millions of cases diagnosed worldwide annually. Early detection significantly improves patient outcomes, yet traditional diagnostic methods rely heavily on the expertise of dermatologists, making accurate and timely detection challenging in resource-limited settings. The integration of Artificial Intelligence (AI) and Deep Learning (DL) technologies into the field of dermatology offers transformative potential to enhance diagnostic accuracy, streamline workflows, and expand access to life-saving diagnostics. This chapter aims to explore how AI and DL technologies can be leveraged to address the challenges of skin cancer detection, focusing on the latest developments, methodologies, and applications. By providing an overview of the current landscape, highlighting research breakthroughs, and addressing implementation concerns, this chapter seeks to underscore the potential of these technologies to revolutionize skin cancer detection and treatment.
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