[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
[HTML][HTML] The impact of patient clinical information on automated skin cancer detection
Skin cancer is one of the most common types of cancer worldwide. Over the past few years,
different approaches have been proposed to deal with automated skin cancer detection …
different approaches have been proposed to deal with automated skin cancer detection …
A survey of deep learning on mobile devices: Applications, optimizations, challenges, and research opportunities
Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …
powerful computers and servers. Recently, with the advancement of more powerful mobile …
CU-net: a new improved multi-input color U-net model for skin lesion semantic segmentation
Melanoma is considered one of the most dangerous skin cancer diseases that threaten
human health and life. Early diagnosis of melanoma is a big challenge, especially with the …
human health and life. Early diagnosis of melanoma is a big challenge, especially with the …
On out-of-distribution detection algorithms with deep neural skin cancer classifiers
Computer-aided skin cancer detection systems built with deep neural networks yield
overconfident predictions on out-of-distribution examples. Motivated by the importance of out …
overconfident predictions on out-of-distribution examples. Motivated by the importance of out …
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network
Melanoma is a type of skin lesion that is less common than other types of skin lesions, but it
is fast growing and spreading. Therefore, it is classified as a serious disease that directly …
is fast growing and spreading. Therefore, it is classified as a serious disease that directly …
A smartphone based application for skin cancer classification using deep learning with clinical images and lesion information
Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has
increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer …
increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer …
Deep and handcrafted features from clinical images combined with patient information for skin cancer diagnosis
CFSF Mendes, RA Krohling - Chaos, Solitons & Fractals, 2022 - Elsevier
Skin lesions diagnostic is a challenging problem due to the variety of visual aspects of the
lesions. The clinical analysis of skin lesions relies on the visual information as well as on the …
lesions. The clinical analysis of skin lesions relies on the visual information as well as on the …
[HTML][HTML] Fluorescence images of skin lesions and automated diagnosis using convolutional neural networks
In recent years, interest in applying deep learning (DL) to medical diagnosis has rapidly
increased, driven primarily by the development of Convolutional Neural Networks and …
increased, driven primarily by the development of Convolutional Neural Networks and …