Deep learning approaches towards skin lesion segmentation and classification from dermoscopic images-a review
Background: Automated intelligent systems for unbiased diagnosis are primary requirement
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
for the pigment lesion analysis. It has gained the attention of researchers in the last few …
Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm
Skin lesion segmentation has a critical role in the early and accurate diagnosis of skin
cancer by computerized systems. However, automatic segmentation of skin lesions in …
cancer by computerized systems. However, automatic segmentation of skin lesions in …
An enhanced deep learning framework for skin lesions segmentation
Reliable and accurate segmentation of skin lesions images is an essential step in analysing
skin lesions for the clinical diagnosis and treatment of melanoma skin cancer. Skin cancer …
skin lesions for the clinical diagnosis and treatment of melanoma skin cancer. Skin cancer …
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art
Abstract Analysis of skin lesion images via visual inspection and manual examination to
diagnose skin cancer has always been cumbersome. This manual examination of skin …
diagnose skin cancer has always been cumbersome. This manual examination of skin …
Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review
TG Debelee - Diagnostics, 2023 - mdpi.com
Skin lesions are essential for the early detection and management of a number of
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
dermatological disorders. Learning-based methods for skin lesion analysis have drawn …
Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …
Ensemble of deep convolutional neural network for skin lesion classification in dermoscopy images
A Aldwgeri, NF Abubacker - … in Visual Informatics: 6th International Visual …, 2019 - Springer
Diagnosis of skin lesions is a very challenging task due to high inter-class similarities and
intra-class variations between lesions in terms of color, size, site and appearance. As a …
intra-class variations between lesions in terms of color, size, site and appearance. As a …
A hybrid CNN architecture for skin lesion classification using deep learning
SPG Jasil, V Ulagamuthalvi - Soft Computing, 2023 - Springer
The majority of cases of skin cancer can be identified using a combination of a doctor's
ocular inspection, a dermoscopy, and other diagnostic methods. There are a number of …
ocular inspection, a dermoscopy, and other diagnostic methods. There are a number of …
[PDF][PDF] Skin lesion segmentation and classification using conventional and deep learning based framework
Background: In medical image analysis, the diagnosis of skin lesions remains a challenging
task. Skin lesion is a common type of skin cancer that exists worldwide. Dermoscopy is one …
task. Skin lesion is a common type of skin cancer that exists worldwide. Dermoscopy is one …
Novel approaches for diagnosing melanoma skin lesions through supervised and deep learning algorithms
J Premaladha, KS Ravichandran - Journal of medical systems, 2016 - Springer
Dermoscopy is a technique used to capture the images of skin, and these images are useful
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …
to analyze the different types of skin diseases. Malignant melanoma is a kind of skin cancer …