Neural Architecture Search for Skin Lesion Classification
نویسندگان
چکیده
منابع مشابه
Skin Lesion Classification Using Hybrid Deep Neural Networks
Skin cancer is one of the major types of cancers and its incidence has been increasing over the past decades. Skin lesions can arise from various dermatologic disorders and can be classified to various types according to their texture, structure, color and other morphological features. The accuracy of diagnosis of skin lesions, specifically the discrimination of benign and malignant lesions, is...
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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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Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the lesions present on the surface of the skin using dermoscopic images. In this work, an automated skin lesion detection system has been developed which learns th...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2964424