Region extraction and classification of skin cancer: A heterogeneous framework of deep CNN features fusion and reduction
Cancer is one of the leading causes of deaths in the last two decades. It is either diagnosed
malignant or benign–depending upon the severity of the infection and the current stage. The …
malignant or benign–depending upon the severity of the infection and the current stage. The …
[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 …
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
Cancer is among the common causes of death around the world. Skin cancer is one of the
most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition …
most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition …
Developed Newton-Raphson based deep features selection framework for skin lesion recognition
Melanoma is the fatal form of skin cancer; however, its diagnosis at the primary stages
significantly reduces the mortality rate. These days, the increasing numbers of skin cancer …
significantly reduces the mortality rate. These days, the increasing numbers of skin cancer …
Integrated design of deep features fusion for localization and classification of skin cancer
The common fatal type of skin cancer is melanoma. Recently, numerous intelligent systems
are used to detect skin cancer at an early stage. These systems are helpful for a …
are used to detect skin cancer at an early stage. These systems are helpful for a …
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] 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 …
[HTML][HTML] Automated deep learning approach for classification of malignant melanoma and benign skin lesions
W Salma, AS Eltrass - Multimedia Tools and Applications, 2022 - Springer
Skin cancer becomes a significant health problem worldwide with an increasing incidence
over the past decades. Due to the fine-grained differences in the appearance of skin lesions …
over the past decades. Due to the fine-grained differences in the appearance of skin lesions …
[HTML][HTML] Skin lesion detection using hand-crafted and DL-based features fusion and LSTM
R Mahum, S Aladhadh - Diagnostics, 2022 - mdpi.com
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …
Various methods, such as imaging and biopsies, are used by oncologists to assess the …
[HTML][HTML] 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 …