[HTML][HTML] Skin Cancer Detection Using Deep Learning—A Review

M Naqvi, SQ Gilani, T Syed, O Marques, HC Kim - Diagnostics, 2023 - mdpi.com
Skin cancer is one the most dangerous types of cancer and is one of the primary causes of
death worldwide. The number of deaths can be reduced if skin cancer is diagnosed early …

[HTML][HTML] Diagnosing Melanomas in Dermoscopy Images Using Deep Learning

G Alwakid, W Gouda, M Humayun, NZ Jhanjhi - Diagnostics, 2023 - mdpi.com
When it comes to skin tumors and cancers, melanoma ranks among the most prevalent and
deadly. With the advancement of deep learning and computer vision, it is now possible to …

[HTML][HTML] A novel multi-task learning network based on melanoma segmentation and classification with skin lesion images

F Alenezi, A Armghan, K Polat - Diagnostics, 2023 - mdpi.com
Melanoma is known worldwide as a malignant tumor and the fastest-growing skin cancer
type. It is a very life-threatening disease with a high mortality rate. Automatic melanoma …

Tackling the class imbalanced dermoscopic image classification using data augmentation and GAN

M Alsaidi, MT Jan, A Altaher, H Zhuang… - Multimedia Tools and …, 2023 - Springer
Dermoscopy is a noninvasive way to examine and diagnose skin lesions, eg nevus and
melanoma, and is a critical step for skin cancer detection. Accurate classification of …

[HTML][HTML] SNC_Net: Skin Cancer Detection by Integrating Handcrafted and Deep Learning-Based Features Using Dermoscopy Images

A Naeem, T Anees, M Khalil, K Zahra, RA Naqvi… - Mathematics, 2024 - mdpi.com
The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …

[HTML][HTML] Photoacoustic Imaging of Human Skin for Accurate Diagnosis and Treatment Guidance

Y Ying, H Zhang, L Lin - Optics, 2024 - mdpi.com
Photoacoustic imaging (PAI) is a cutting-edge biomedical imaging modality, providing
detailed anatomical and functional information about the area beneath the skin surface. Its …

Prediction method of large yellow croaker (Larimichthys crocea) freshness based on improved residual neural network

X Wu, Z Wang, Z Wang, Q Zhang, Q Zhang… - Journal of Food …, 2024 - Springer
Conventional evaluation of fish freshness based on physiological and biochemical methods
was destructive, complicated and costly. In this study, the new model was trained on the eye …

FDUM-Net: An enhanced FPN and U-Net architecture for skin lesion segmentation

H Sharen, M Jawahar, LJ Anbarasi, V Ravi… - … Signal Processing and …, 2024 - Elsevier
Early detection is essential for the successful removal of all malignant lesions from the body,
and skin cancer is one of the most widespread cancers globally. In medical image analysis …

Melanoma identification and classification model based on fine-tuned convolutional neural network

MF Almufareh, N Tariq, M Humayun… - Digital Health, 2024 - journals.sagepub.com
Background Breakthroughs in skin cancer diagnostics have resulted from recent image
recognition and Artificial Intelligence (AI) technology advancements. There has been …

[HTML][HTML] Impact of optimizers functions on detection of Melanoma using transfer learning architectures

S Kılıçarslan, HA Aydın, K Adem, EK Yılmaz - Multimedia Tools and …, 2024 - Springer
Early diagnosis-treatment of melanoma is very important because of its dangerous nature
and rapid spread. When diagnosed correctly and early, the recovery rate of patients …