[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 …
A survey on deep learning for skin lesion segmentation
Skin cancer is a major public health problem that could benefit from computer-aided
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
diagnosis to reduce the burden of this common disease. Skin lesion segmentation from …
[HTML][HTML] An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …
can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is …
[HTML][HTML] Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
D Keerthana, V Venugopal, MK Nath… - Biomedical Engineering …, 2023 - Elsevier
Background: The dermatologist widely uses digital dermoscopy for the detection of
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework
Malignant melanoma is considered to be one of the deadliest types of skin cancers which is
responsible for the massive number of deaths worldwide. According to the American Cancer …
responsible for the massive number of deaths worldwide. According to the American Cancer …
[HTML][HTML] Skin lesion segmentation based on vision transformers and convolutional neural networks—a comparative study
Melanoma skin cancer is considered as one of the most common diseases in the world.
Detecting such diseases at early stage is important to saving lives. During medical …
Detecting such diseases at early stage is important to saving lives. During medical …
A comparative study of deep learning architectures on melanoma detection
SH Kassani, PH Kassani - Tissue and Cell, 2019 - Elsevier
Melanoma is the most aggressive type of skin cancer, which significantly reduces the life
expectancy. Early detection of melanoma can reduce the morbidity and mortality associated …
expectancy. Early detection of melanoma can reduce the morbidity and mortality associated …
A convolutional neural network framework for accurate skin cancer detection
K Thurnhofer-Hemsi, E Domínguez - Neural Processing Letters, 2021 - Springer
Skin diseases have become a challenge in medical diagnosis due to visual similarities.
Although melanoma is the best-known type of skin cancer, there are other pathologies that …
Although melanoma is the best-known type of skin cancer, there are other pathologies that …
Skin disease diagnosis with deep learning: A review
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …
[HTML][HTML] Skin lesion segmentation from dermoscopic images using convolutional neural network
Clinical treatment of skin lesion is primarily dependent on timely detection and delimitation
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …
of lesion boundaries for accurate cancerous region localization. Prevalence of skin cancer is …