Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets
E Goceri - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …
augmentation to improve the performance of lesion classifications. Also, a new …
A web-based mpox skin lesion detection system using state-of-the-art deep learning models considering racial diversity
The recent 'Mpox'outbreak, formerly known as 'Monkeypox', has been a significant public
health concern and spread to over 110 countries globally. The challenge of clinically …
health concern and spread to over 110 countries globally. The challenge of clinically …
Skin lesion classification on dermatoscopic images using effective data augmentation and pre-trained deep learning approach
F Bozkurt - Multimedia Tools and Applications, 2023 - Springer
Skin cancer is a severe disease that is common and causes death if left untreated. When
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …
skin cancer is detected early through dermatoscopic imaging, the possibility of definitive …
A systematic literature survey on skin disease detection and classification using machine learning and deep learning
The world population is growing very fast and the lifestyle of human beings is changing with
time and place. So, there is a need for disease management which includes disease …
time and place. So, there is a need for disease management which includes disease …
[HTML][HTML] A full-resolution convolutional network with a dynamic graph cut algorithm for skin cancer classification and detection
A robust medical decision support system for classifying skin lesions from dermoscopy
images is a crucial instrument for determining skin cancer prognosis. In recent years, full …
images is a crucial instrument for determining skin cancer prognosis. In recent years, full …
Detection and classification of malignant melanoma using deep features of NASNet
Q Abbas, A Gul - SN Computer Science, 2022 - Springer
Skin cancer is one of the leading causes of death worldwide. Malignant melanoma is the
most lethal form of skin cancer which can spread to other areas of the body. Although it is …
most lethal form of skin cancer which can spread to other areas of the body. Although it is …
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 …
Integration of localized, contextual, and hierarchical features in deep learning for improved skin lesion classification
K Ramamurthy, I Thayumanaswamy, M Radhakrishnan… - Diagnostics, 2024 - mdpi.com
Skin lesion classification is vital for the early detection and diagnosis of skin diseases,
facilitating timely intervention and treatment. However, existing classification methods face …
facilitating timely intervention and treatment. However, existing classification methods face …
PCA: progressive class-wise attention for skin lesions diagnosis
Skin cancer is the most prevalent type of cancer worldwide. Early detection is essential as it
could be fatal at later stages. The classification of skin lesions is challenging since there are …
could be fatal at later stages. The classification of skin lesions is challenging since there are …
Blockchain-Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using Optimal Deep Learning Model
K Rajeshkumar, C Ananth, N Mohananthini - Engineering, Technology & …, 2023 - etasr.com
Blockchain (BC) and Machine learning (ML) technologies have been investigated for
potential applications in medicine with reasonable success to date. On the other hand, as …
potential applications in medicine with reasonable success to date. On the other hand, as …