[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 …
Melanoma skin cancer detection method based on adaptive principal curvature, colour normalisation and feature extraction with the ABCD rule
According to statistics of the American Cancer Society, in 2015, there are about 91,270
American adults diagnosed with melanoma of the skin. For the European Union, there are …
American adults diagnosed with melanoma of the skin. For the European Union, there are …
An efficient block-based algorithm for hair removal in dermoscopic images
IS Zaqout - Компьютерная оптика, 2017 - cyberleninka.ru
Hair occlusion in dermoscopy images affects the diagnostic operation of the skin lesion.
Segmentation and classification of skin lesions are two major steps of the diagnostic …
Segmentation and classification of skin lesions are two major steps of the diagnostic …
[HTML][HTML] Diagnostic clinical decision support based on deep learning and knowledge-based systems for psoriasis: From diagnosis to treatment options
Psoriasis is an acute immuno-dermatological disease, affecting people of all ages, which
significantly decreases quality of life. While the standard approach to identification and …
significantly decreases quality of life. While the standard approach to identification and …
Skin lesion segmentation by pixel by pixel approach using deep learning
S Justin, M Pattnaik - International journal of advances in signal and …, 2020 - xlescience.org
Skin lesion segmentation is an imperative step for image analysis and visualization task.
Manual segmentation by an expert operator is too time-consuming and its accuracy may be …
Manual segmentation by an expert operator is too time-consuming and its accuracy may be …
SEDARU-net: a squeeze-excitation dilated based residual U-Net with attention mechanism for automatic melanoma lesion segmentation
One of the most dangerous types of skin cancer, malignant melanoma, must be detected
early on in order to receive successful therapy. If melanoma is not diagnosed in a timely …
early on in order to receive successful therapy. If melanoma is not diagnosed in a timely …
[HTML][HTML] Ordered iterative colour channel selection enhances segmentation of brain slice image neurons of the sham fetal sheep model
S Bhattacharya, L Bennet, JO Davidson… - Intelligent Systems with …, 2022 - Elsevier
Hypoxic Ischemia (HI) accounts for 23% of annual worldwide neonatal death, brain damage
and long-term disability. Histopathological studies of infants with HI are rare, so the …
and long-term disability. Histopathological studies of infants with HI are rare, so the …
Analysis of CBC and FCMC clustering approaches for skin melanoma segmentation using dermoscopic images
SP Maniraj, PS Maran - Research Journal of Pharmacy and …, 2022 - indianjournals.com
In this paper, clustering approaches are analyzed for skin lesion segmentation using
dermoscopic images. Three widely used machine learning approaches for image …
dermoscopic images. Three widely used machine learning approaches for image …
Melanocytic skin lesion extraction using mean shift clustering
Computer vision-based disease diagnosis is the recent trend for skin melanoma detection.
This results in early detection resulting in reduced fatalities due to skin melanoma. A number …
This results in early detection resulting in reduced fatalities due to skin melanoma. A number …
Skin lesion analysis: A state-of-the-art survey, systematic review, and future trends
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 cost of skin …
emerging field of research that has the potential to alleviate the burden and cost of skin …