Incorporating clinical knowledge with constrained classifier chain into a multimodal deep network for melanoma detection
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104812
Abstract: In recent years, vast developments in Computer-Aided Diagnosis (CAD) for skin diseases have generated much interest from clinicians and other eventual end-users of this technology. Introducing clinical domain knowledge to these machine learning strategies can… read more here.
Keywords: detection; melanoma detection; knowledge; constrained classifier ... See more keywords
Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001507
Abstract: Melanoma remains the most harmful form of skin cancer. Convolutional neural network (CNN) based classifiers have become the best choice for melanoma detection in the recent era. The research has indicated that classifiers based on… read more here.
Keywords: classification; melanoma; melanoma detection; research ... See more keywords
Melanoma Lesion Detection and Segmentation Using YOLOv4-DarkNet and Active Contour
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3035345
Abstract: Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to… read more here.
Keywords: active contour; detection segmentation; melanoma; melanoma detection ... See more keywords
A Cloud Approach for Melanoma Detection Based on Deep Learning Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3113609
Abstract: In the era of digitized images, the goal is to extract information from them and create new knowledge thanks to Computer Vision techniques, Machine Learning and Deep Learning. This enables the use of images for… read more here.
Keywords: melanoma; melanoma detection; deep learning; approach ... See more keywords
3D Whole‐body skin imaging for automated melanoma detection
Sign Up to like & getrecommendations! Published in 2023 at "Journal of the European Academy of Dermatology and Venereology"
DOI: 10.1111/jdv.18924
Abstract: Existing artificial intelligence for melanoma detection has relied on analysing images of lesions of clinical interest, which may lead to missed melanomas. Tools analysing the entire skin surface are lacking. read more here.
Keywords: skin imaging; whole body; body skin; detection ... See more keywords
Computational Intelligence-Based Melanoma Detection and Classification Using Dermoscopic Images
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2370190
Abstract: Melanoma is a kind of skin cancer caused by the irregular development of pigment-producing cells. Since melanoma detection efficiency is limited to different factors such as poor contrast among lesions and nearby skin regions, and… read more here.
Keywords: intelligence; classification; intelligence based; melanoma detection ... See more keywords
An Examination of Melanoma Detection and Characteristics at a Nova Scotia Tertiary Care Centre, From 2015-2019
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Cutaneous Medicine and Surgery"
DOI: 10.1177/12034754221108978
Abstract: Background Melanoma is one of the most common cancers in Canada, 1 with the highest incidence in Nova Scotia (NS). Objectives To describe the demographics, lesion characteristics, and diagnostic accuracy of suspected melanomas excised at… read more here.
Keywords: melanoma; 2015 2019; nova scotia; pathology ... See more keywords
Melanoma Detection Using XGB Classifier Combined with Feature Extraction and K-Means SMOTE Techniques
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12071747
Abstract: Melanoma, a very severe form of skin cancer, spreads quickly and has a high mortality rate if not treated early. Recently, machine learning, deep learning, and other related technologies have been successfully applied to computer-aided… read more here.
Keywords: using xgb; detection using; melanoma detection; feature extraction ... See more keywords
Melanoma Detection by Non-Specialists: An Untapped Potential for Triage?
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12112821
Abstract: Introduction: The incidence of melanoma increased considerably in recent decades, representing a significant public health problem. We aimed to evaluate the ability of non-specialists for the preliminary screening of skin lesions to identify melanoma-suspect lesions.… read more here.
Keywords: detection non; melanoma detection; non specialists; melanoma ... See more keywords
Skin Lesion Analysis for Melanoma Detection Using the Novel Deep Learning Model Fuzzy GC-SCNN
Sign Up to like & getrecommendations! Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10050962
Abstract: Melanoma is easily detectable by visual examination since it occurs on the skin’s surface. In melanomas, which are the most severe types of skin cancer, the cells that make melanin are affected. However, the lack… read more here.
Keywords: fuzzy scnn; lesion; detection; deep learning ... See more keywords
Melanoma Detection Using Deep Learning-Based Classifications
Sign Up to like & getrecommendations! Published in 2022 at "Healthcare"
DOI: 10.3390/healthcare10122481
Abstract: One of the most prevalent cancers worldwide is skin cancer, and it is becoming more common as the population ages. As a general rule, the earlier skin cancer can be diagnosed, the better. As a… read more here.
Keywords: deep learning; skin cancer; image; melanoma detection ... See more keywords