Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** computer-aided diagnosis …
Computer-aided diagnosis of skin cancer: a review
Cancer is currently one of the main health issues in the world. Among different varieties of
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
cancers, skin cancer is the most common cancer in the world and accounts for 75% of the …
An enhanced transfer learning based classification for diagnosis of skin cancer
Skin cancer is the most commonly diagnosed and reported malignancy worldwide. To
reduce the death rate from cancer, it is essential to diagnose skin cancer at a benign stage …
reduce the death rate from cancer, it is essential to diagnose skin cancer at a benign stage …
A comparative study of features selection for skin lesion detection from dermoscopic images
Melanoma is rare and mainly considered as the dangerous category of skin cancer. Many
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
researchers proposed diverse efficient techniques for melanoma detection. The main focus …
Construction of saliency map and hybrid set of features for efficient segmentation and classification of skin lesion
Skin cancer is being a most deadly type of cancers which have grown extensively worldwide
from the last decade. For an accurate detection and classification of melanoma, several …
from the last decade. For an accurate detection and classification of melanoma, several …
Integration of morphological preprocessing and fractal based feature extraction with recursive feature elimination for skin lesion types classification
Background and objective Skin cancer is the commonest form of cancer in the worldwide
population. Non-invasive and non-contact imaging modalities are being used for the …
population. Non-invasive and non-contact imaging modalities are being used for the …
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Malignant melanoma, not belongs to a common type of skin cancers but most serious
because of its growth—affecting large number of people worldwide. Recent studies …
because of its growth—affecting large number of people worldwide. Recent studies …
Deep attention branch networks for skin lesion classification
S Ding, Z Wu, Y Zheng, Z Liu, X Yang, X Yang… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective The skin lesion usually covers a small region of the
dermoscopy image, and the lesions of different categories might own high similarities …
dermoscopy image, and the lesions of different categories might own high similarities …
Stomach deformities recognition using rank-based deep features selection
Doctor utilizes various kinds of clinical technologies like MRI, endoscopy, CT scan, etc., to
identify patient's deformity during the review time. Among set of clinical technologies …
identify patient's deformity during the review time. Among set of clinical technologies …
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Accurate cancer detection and diagnosis are imperative for advancing patient outcomes and
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …
mitigating mortality rates. This extensive review scrutinizes the progress within the domain of …