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 …
[HTML][HTML] Advances of AI in image-based computer-aided diagnosis: A review
Over the past two decades, computer-aided detection and diagnosis have emerged as a
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
field of research. The primary goal is to enhance the diagnostic and treatment procedures for …
MSRNet: multiclass skin lesion recognition using additional residual block based fine-tuned deep models information fusion and best feature selection
Cancer is one of the leading significant causes of illness and chronic disease worldwide.
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
Skin cancer, particularly melanoma, is becoming a severe health problem due to its rising …
SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization algorithm
Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …
automated computer-aided diagnosis (CAD) system has shown improved performance for …
Vision transformer and CNN-based skin lesion analysis: classification of monkeypox
G Yolcu Oztel - Multimedia Tools and Applications, 2024 - Springer
Monkeypox is an important health problem. Rapid diagnosis of monkeypox skin lesions and
emergency isolation when necessary is essential. Also, some skin lesions, such as …
emergency isolation when necessary is essential. Also, some skin lesions, such as …
Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
O Attallah - Scientific Reports, 2024 - nature.com
Skin cancer (SC) is an important medical condition that necessitates prompt identification to
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
ensure timely treatment. Although visual evaluation by dermatologists is considered the …
DCENSnet: A new deep convolutional ensemble network for skin cancer classification
Skin cancer is a significant health concern, demanding early detection and classification for
higher survival rates. Existing computer vision methods struggle to tackle fine-grained …
higher survival rates. Existing computer vision methods struggle to tackle fine-grained …
MHorUNet: High-order spatial interaction UNet for skin lesion segmentation
R Wu, P Liang, X Huang, L Shi, Y Gu, H Zhu… - … Signal Processing and …, 2024 - Elsevier
In recent years, dermoscopy, as a noninvasive means of detection, has been increasingly
used in the auxiliary diagnosis of skin disease, especially for skin cancer, such as malignant …
used in the auxiliary diagnosis of skin disease, especially for skin cancer, such as malignant …
DermSynth3D: Synthesis of in-the-wild annotated dermatology images
In recent years, deep learning (DL) has shown great potential in the field of dermatological
image analysis. However, existing datasets in this domain have significant limitations …
image analysis. However, existing datasets in this domain have significant limitations …
A GAN-based data augmentation method for imbalanced multi-class skin lesion classification
Q Su, HNA Hamed, MA Isa, X Hao, X Dai - IEEE Access, 2024 - ieeexplore.ieee.org
Skin cancer is one of the most common types of cancer globally. Despite the remarkable
advancements of deep learning methods in computer vision, automatic diagnosis of skin …
advancements of deep learning methods in computer vision, automatic diagnosis of skin …