A multilevel features selection framework for skin lesion classification
نویسندگان
چکیده
منابع مشابه
A Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
متن کاملA Novel Method for Skin Lesion Segmentation
Skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. If they detected at an early stage, treatment can become simple and economically. Accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. The aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...
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Within medical imaging, manual curation of sufficient welllabeled samples is cost, time and scale-prohibitive. To improve the representativeness of the training dataset, for the first time, we present an approach to utilize large amounts of freely available web data through web-crawling. To handle noise and weak nature of web annotations, we propose a two-step transfer learning based training p...
متن کاملDeep Learning for Skin Lesion Classification
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...
متن کاملGenetic Programming for the Automatic Construction of Features in Skin-Lesion Image Classification
This dissertation describes the design and implementation of a genetic programming system which automatically constructs feature equations for the classification of skin lesion images as a part of a real world dermatological image retrieval system. It uses generalized co-occurrence matrices (GCMs) and normal mathematical functions combined stochastically and evaluated using the feature selectio...
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ژورنال
عنوان ژورنال: Human-centric Computing and Information Sciences
سال: 2020
ISSN: 2192-1962
DOI: 10.1186/s13673-020-00216-y