A study of CNN and transfer learning in medical imaging: Advantages, challenges, future scope

AW Salehi, S Khan, G Gupta, BI Alabduallah, A Almjally… - Sustainability, 2023 - mdpi.com
This paper presents a comprehensive study of Convolutional Neural Networks (CNN) and
transfer learning in the context of medical imaging. Medical imaging plays a critical role in …

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 …

AI techniques of dermoscopy image analysis for the early detection of skin lesions based on combined CNN features

F Olayah, EM Senan, IA Ahmed, B Awaji - Diagnostics, 2023 - mdpi.com
Melanoma is one of the deadliest types of skin cancer that leads to death if not diagnosed
early. Many skin lesions are similar in the early stages, which causes an inaccurate …

Medical image identification methods: A review

J Li, P Jiang, Q An, GG Wang, HF Kong - Computers in Biology and …, 2024 - Elsevier
The identification of medical images is an essential task in computer-aided diagnosis,
medical image retrieval and mining. Medical image data mainly include electronic health …

Deep clustering via center-oriented margin free-triplet loss for skin lesion detection in highly imbalanced datasets

Ş Öztürk, T Çukur - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate
when diagnosed at early stages. Learning-based methods hold significant promise for the …

An effective multiclass skin cancer classification approach based on deep convolutional neural network

EH Houssein, DA Abdelkareem, G Hu, MA Hameed… - Cluster …, 2024 - Springer
Skin cancer is one of the most dangerous types of cancer due to its immediate appearance
and the possibility of rapid spread. It arises from uncontrollably growing cells, rapidly …

A novel framework of multiclass skin lesion recognition from dermoscopic images using deep learning and explainable AI

N Ahmad, JH Shah, MA Khan, J Baili, GJ Ansari… - Frontiers in …, 2023 - frontiersin.org
Skin cancer is a serious disease that affects people all over the world. Melanoma is an
aggressive form of skin cancer, and early detection can significantly reduce human mortality …

[HTML][HTML] Skin lesion analysis for melanoma detection using the novel deep learning model fuzzy GC-SCNN

U Bhimavarapu, G Battineni - Healthcare, 2022 - mdpi.com
Melanoma is easily detectable by visual examination since it occurs on the skin's surface. In
melanomas, which are the most severe types of skin cancer, the cells that make melanin are …

PCA: Progressive class-wise attention for skin lesions diagnosis

A Naveed, SS Naqvi, TM Khan, I Razzak - Engineering Applications of …, 2024 - Elsevier
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 …

[HTML][HTML] Attention cost-sensitive deep learning-based approach for skin cancer detection and classification

V Ravi - Cancers, 2022 - mdpi.com
Simple Summary According to skin disease reports by healthcare organizations, the number
of cases of skin disease is growing gradually over the years globally. In skin disease …