Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in develo** computer-aided diagnosis …
researchers have shown an increasing interest in develo** computer-aided diagnosis …
A review on the use of deep learning for medical images segmentation
Deep learning (DL) algorithms have rapidly become a robust tool for analyzing medical
images. They have been used extensively for medical image segmentation as the first and …
images. They have been used extensively for medical image segmentation as the first and …
FAT-Net: Feature adaptive transformers for automated skin lesion segmentation
Skin lesion segmentation from dermoscopic image is essential for improving the quantitative
analysis of melanoma. However, it is still a challenging task due to the large scale variations …
analysis of melanoma. However, it is still a challenging task due to the large scale variations …
[HTML][HTML] Analysis of the ISIC image datasets: Usage, benchmarks and recommendations
Abstract The International Skin Imaging Collaboration (ISIC) datasets have become a
leading repository for researchers in machine learning for medical image analysis …
leading repository for researchers in machine learning for medical image analysis …
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 …
New trends in melanoma detection using neural networks: a systematic review
D Popescu, M El-Khatib, H El-Khatib, L Ichim - Sensors, 2022 - mdpi.com
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health
disease today. The high mortality rate associated with melanoma makes it necessary to …
disease today. The high mortality rate associated with melanoma makes it necessary to …
Automatic malignant and benign skin cancer classification using a hybrid deep learning approach
Skin cancer is one of the major types of cancer with an increasing incidence in recent
decades. The source of skin cancer arises in various dermatologic disorders. Skin cancer is …
decades. The source of skin cancer arises in various dermatologic disorders. Skin cancer is …
Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
[HTML][HTML] DermoExpert: Skin lesion classification using a hybrid convolutional neural network through segmentation, transfer learning, and augmentation
Abstract Background and Objective: Although automated Skin Lesion Classification (SLC) is
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
a crucial integral step in computer-aided diagnosis, it remains challenging due to variability …
Deep learning and optimization-based methods for skin lesions segmentation: a review
Skin cancer is a senior public health issue that could profit from computer-aided diagnosis to
decrease the encumbrance of this widespread disease. Researchers have been more …
decrease the encumbrance of this widespread disease. Researchers have been more …