The effect of quantization at different resolutions on the classification of lesion texture in dermoscopic images using support vector machine
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22759
Abstract: Dermoscopic images have been recently used for automated diagnosis of skin lesions with successful results and a potential for widescale applications. Cooccurrence matrix (COM) is a statistical method of texture feature extraction that remains possibly… read more here.
Keywords: classification; dermoscopic images; quantization; texture ... See more keywords
A convolutional neural network trained with dermoscopic images of psoriasis performed on par with 230 dermatologists.
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104924
Abstract: BACKGROUND Psoriasis is a common chronic inflammatory skin disease that causes physical and psychological burden to patients. A Convolutional Neural Network (CNN) focused on dermoscopic images would substantially aid the classification and increase the accuracy… read more here.
Keywords: network; dermoscopic images; convolutional neural; 230 dermatologists ... See more keywords
Recent Advances in Diagnosis of Skin Lesions Using Dermoscopic Images Based on Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3199613
Abstract: Skin cancer is one of the most threatening cancers, which spreads to the other parts of the body if not caught and treated early. During the last few years, the integration of deep learning into… read more here.
Keywords: dermoscopic images; skin cancer; diagnosis skin; deep learning ... See more keywords
EBAT: Enhanced Bidirectional and Autoregressive Transformers for Removing Hairs in Hairy Dermoscopic Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3243911
Abstract: A great progress in deep learning technologies for skin cancer detection from dermoscopic images has been made for a decade. While its performance is vulnerable to a large amount of hairs densely covering the skin… read more here.
Keywords: removing hairs; hairs hairy; dermoscopic images; bidirectional autoregressive ... See more keywords
SDI+: A Novel Algorithm for Segmenting Dermoscopic Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2808970
Abstract: Malignant skin lesions are among the most common types of cancer, and automated systems for their early detection are of fundamental importance. We propose SDI+, an unsupervised algorithm for the segmentation of skin lesions in… read more here.
Keywords: sdi novel; segmenting dermoscopic; dermoscopic images; skin lesions ... See more keywords
Henry Gas Solubility Optimization Algorithm based Feature Extraction in Dermoscopic Images Analysis of Skin Cancer
Sign Up to like & getrecommendations! Published in 2023 at "Cancers"
DOI: 10.3390/cancers15072146
Abstract: Simple Summary Early diagnosis of skin cancer is vital for providing effective treatment for patients. Dermoscopy is a non-invasive approach that utilizes specific equipment to examine the skin and is helpful in determining the specific… read more here.
Keywords: dermoscopic images; cancer; skin cancer; mafcnn scd ... See more keywords
Preprocessing Effects on Performance of Skin Lesion Saliency Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12020344
Abstract: Despite the recent advances in immune therapies, melanoma remains one of the deadliest and most difficult skin cancers to treat. Literature reports that multifarious driver oncogenes with tumor suppressor genes are responsible for melanoma progression… read more here.
Keywords: segmentation; dermoscopic images; skin lesions; saliency segmentation ... See more keywords