[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 …
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 image segmentation using Delaunay Triangulation for melanoma detection
Developing automatic diagnostic tools for the early detection of skin cancer lesions in
dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation …
dermoscopic images can help to reduce melanoma-induced mortality. Image segmentation …
Improving dermoscopy image classification using color constancy
Robustness is one of the most important characteristics of computer-aided diagnosis
systems designed for dermoscopy images. However, it is difficult to ensure this characteristic …
systems designed for dermoscopy images. However, it is difficult to ensure this characteristic …
[PDF][PDF] A state-of-the-art survey on lesion border detection in dermoscopy images
Invasive and in situ malignant melanoma together comprise one of the most rapidly
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …
increasing cancers in the world. Invasive melanoma alone has an estimated incidence of …
An EfficientNet-based modified sigmoid transform for enhancing dermatological macro-images of melanoma and nevi skin lesions
Background and objective: During the initial stages, skin lesions may not have sufficient
intensity difference or contrast from the background region on dermatological macro-images …
intensity difference or contrast from the background region on dermatological macro-images …
Illumination-based transformations improve skin lesion segmentation in dermoscopic images
K Abhishek, G Hamarneh… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
The semantic segmentation of skin lesions is an important and common initial task in the
computer aided diagnosis of dermoscopic images. Although deep learning-based …
computer aided diagnosis of dermoscopic images. Although deep learning-based …
[图书][B] Dermoscopy image analysis
ME Celebi, T Mendonca, JS Marques - 2015 - books.google.com
Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and
either liquid immersion or cross-polarized lighting to make subsurface structures more …
either liquid immersion or cross-polarized lighting to make subsurface structures more …
Automatic detection of blue-white veil by discrete colour matching in dermoscopy images
Skin lesions are often comprised of various colours. The presence of multiple colours with
an irregular distribution can signal malignancy. Among common colours under dermoscopy …
an irregular distribution can signal malignancy. Among common colours under dermoscopy …
Incorporating Colour Information for Computer‐Aided Diagnosis of Melanoma from Dermoscopy Images: A Retrospective Survey and Critical Analysis
Cutaneous melanoma is the most life‐threatening form of skin cancer. Although advanced
melanoma is often considered as incurable, if detected and excised early, the prognosis is …
melanoma is often considered as incurable, if detected and excised early, the prognosis is …