TY - GEN digital ID - 131518940 TI - Computer Vision Techniques for the Diagnosis of Skin Cancer AU - Scharcanski, Jacob AU - Celebi, M. Emre PY - 2014 SN - 9783642396083 PB - Berlin, Heidelberg Springer DB - UniCat KW - Human biochemistry KW - Physical methods for diagnosis KW - Pathological dermatology KW - Applied physical engineering KW - Computer. Automation KW - computervisie KW - beeldverwerking KW - huidkanker KW - medische biochemie KW - biochemie KW - dermatologie KW - ingenieurswetenschappen KW - straling KW - signaalverwerking UR - https://www.unicat.be/uniCat?func=search&query=sysid:131518940 AB - The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer. Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and  provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi. ER -