Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation
نویسندگان
چکیده
منابع مشابه
Skin Lesion Classification Using Deep Multi-scale Convolutional Neural Networks
Melanoma is a malignant tumour originating from melanocytes cells skin cells responsible for the production of melanin. The American Cancer Society estimates that in the United States alone for 2017, more than 87,000 new melanoma cases will be diagnosed and around 9,300 persons are expected to die[1]. Skin melanoma lesions are very challenging to visually diagnose due to their similarity in vis...
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Diagnosing malignant skin lesions early is often the difference between life or death. With the increasing accessibility of deep learning tools that have demonstrated outstanding performance for image classification, it is no surprise that there has been an extensive effort to employ neural networks in the diagnosis of skin lesions. We explore a method of late-fusion of three identical CNN’s mo...
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ژورنال
عنوان ژورنال: JMIR Dermatology
سال: 2020
ISSN: 2562-0959
DOI: 10.2196/18438