Artificial Intelligence in the detection of skin cancer: state of the art

M Strzelecki, M Kociołek, M Strąkowska… - Clinics in …, 2024 - Elsevier
The incidence of melanoma is increasing rapidly. This cancer has a good prognosis if
detected early. For this reason, various systems of skin lesion image analysis, which support …

[HTML][HTML] SkinNet-INIO: multiclass skin lesion localization and classification using fusion-assisted deep neural networks and improved nature-inspired optimization …

M Hussain, MA Khan, R Damaševičius, A Alasiry… - Diagnostics, 2023 - mdpi.com
Background: Using artificial intelligence (AI) with the concept of a deep learning-based
automated computer-aided diagnosis (CAD) system has shown improved performance for …

[HTML][HTML] Automatic classification of colour fundus images for prediction eye disease types based on hybrid features

A Shamsan, EM Senan, HSA Shatnawi - Diagnostics, 2023 - mdpi.com
Early detection of eye diseases is the only solution to receive timely treatment and prevent
blindness. Colour fundus photography (CFP) is an effective fundus examination technique …

[HTML][HTML] DVFNet: A deep feature fusion-based model for the multiclassification of skin cancer utilizing dermoscopy images

A Naeem, T Anees - Plos one, 2024 - journals.plos.org
Skin cancer is a common cancer affecting millions of people annually. Skin cells inside the
body that grow in unusual patterns are a sign of this invasive disease. The cells then spread …

[HTML][HTML] Hybrid techniques of facial feature image analysis for early detection of autism spectrum disorder based on combined CNN features

B Awaji, EM Senan, F Olayah, EA Alshari, M Alsulami… - Diagnostics, 2023 - mdpi.com
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized
by difficulties in social communication and repetitive behaviors. The exact causes of ASD …

Skin lesion recognition via global-local attention and dual-branch input network

L Tan, H Wu, J Xia, Y Liang, J Zhu - Engineering Applications of Artificial …, 2024 - Elsevier
Owing to the deficiency of training data, the variety of skin lesion shapes for different
patients, inter-class similarity, and intra-class variation, the recognition accuracy and speed …

[HTML][HTML] Hybrid techniques of x-ray analysis to predict knee osteoarthritis grades based on fusion features of cnn and handcrafted

A Khalid, EM Senan, K Al-Wagih, MM Ali Al-Azzam… - Diagnostics, 2023 - mdpi.com
Knee osteoarthritis (KOA) is a chronic disease that impedes movement, especially in the
elderly, affecting more than 5% of people worldwide. KOA goes through many stages, from …

[HTML][HTML] Analysis of WSI images by hybrid systems with fusion features for early diagnosis of cervical cancer

M Hamdi, EM Senan, B Awaji, F Olayah, ME Jadhav… - Diagnostics, 2023 - mdpi.com
Cervical cancer is one of the most common types of malignant tumors in women. In addition,
it causes death in the latter stages. Squamous cell carcinoma is the most common and …

[HTML][HTML] Analyzing histological images using hybrid techniques for early detection of multi-class breast Cancer based on Fusion features of CNN and Handcrafted

M Al-Jabbar, M Alshahrani, EM Senan, IA Ahmed - Diagnostics, 2023 - mdpi.com
Breast cancer is the second most common type of cancer among women, and it can threaten
women's lives if it is not diagnosed early. There are many methods for detecting breast …

[HTML][HTML] Performance Improvement of Melanoma Detection Using a Multi-Network System Based on Decision Fusion

H El-khatib, AM Ștefan, D Popescu - Applied Sciences, 2023 - mdpi.com
The incidence of melanoma cases continues to rise, underscoring the critical need for early
detection and treatment. Recent studies highlight the significance of deep learning in …