ISBN : 978-93-6087-030-0
Category : Academic
Catalogue : Computer
ID : SB21679
Segmentation Techniques of Medical Image Processing for Skin Lesion Recognition
Early Detection of Melanomas using Non Invasive Techniques
Dr. Ruksar Fatima
Paperback
399.00
e Book
299.00
Pages : 199
Language : English
About Book
Early Detection of Melanoma Through Smart Imaging and AI Melanoma is an aggressive skin cancer that is often incurable in its advanced stages. This book presents a novel and intelligent approach for the early detection of in situ melanoma using dermoscopic images. The proposed Multi-Parameter Extraction and Classification System (MPECS) uses a six-phase methodology to extract 21 unique features per image, including shape, color, boundary, and 3D depth characteristics. Leveraging powerful machine learning techniques such as Backpropagation Neural Networks and Support Vector Machines (SVM), this system demonstrates high accuracy in classifying skin lesions. The results offer strong evidence for its effectiveness over traditional methods, making it a promising tool for early-stage melanoma detection. Whether you are a researcher, clinician, medical imaging expert, or a student in biomedical engineering or artificial intelligence, this book provides an in-depth look at how AI and image processing can revolutionize skin cancer diagnosis.
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