[HTML][HTML] 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 developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
[HTML][HTML] Machine learning approaches for skin cancer classification from dermoscopic images: a systematic review
F Grignaffini, F Barbuto, L Piazzo, M Troiano… - Algorithms, 2022 - mdpi.com
Skin cancer (SC) is one of the most prevalent cancers worldwide. Clinical evaluation of skin
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
lesions is necessary to assess the characteristics of the disease; however, it is limited by …
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
Malignant melanoma is considered to be one of the deadliest types of skin cancers which is
responsible for the massive number of deaths worldwide. According to the American Cancer …
responsible for the massive number of deaths worldwide. According to the American Cancer …
[HTML][HTML] On the automatic detection and classification of skin cancer using deep transfer learning
Skin cancer (melanoma and non-melanoma) is one of the most common cancer types and
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …
leads to hundreds of thousands of yearly deaths worldwide. It manifests itself through …
Fusing fine-tuned deep features for skin lesion classification
Malignant melanoma is one of the most aggressive forms of skin cancer. Early detection is
important as it significantly improves survival rates. Consequently, accurate discrimination of …
important as it significantly improves survival rates. Consequently, accurate discrimination of …
[HTML][HTML] Social group optimization supported segmentation and evaluation of skin melanoma images
The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …
medical community, which has promoted the development of several algorithms regarding …
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 …
[HTML][HTML] SBXception: a shallower and broader xception architecture for efficient classification of skin lesions
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …
crucial for effective treatment. we propose a modified deep learning model called …
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 …
Comparison of machine learning strategies for infrared thermography of skin cancer
C Magalhaes, JMRS Tavares, J Mendes… - … Signal Processing and …, 2021 - Elsevier
Objective The aim of this work was to explore the potential of infrared thermal imaging as an
aiding tool for the diagnosis of skin cancer lesions, using artificial intelligence methods …
aiding tool for the diagnosis of skin cancer lesions, using artificial intelligence methods …