State-of-the-art machine learning techniques for melanoma skin cancer detection and classification: a comprehensive review

H Bhatt, V Shah, K Shah, R Shah, M Shah - Intelligent Medicine, 2023 - mednexus.org
Skin cancer is among the most common and lethal cancer types, with the number of cases
increasing dramatically worldwide. If not diagnosed in the nascent stages, it can lead to …

[HTML][HTML] Deep learning in dermatology: a systematic review of current approaches, outcomes, and limitations

HK Jeong, C Park, R Henao, M Kheterpal - JID Innovations, 2023 - Elsevier
Artificial intelligence (AI) has recently made great advances in image classification and
malignancy prediction in the field of dermatology. However, understanding the applicability …

Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network

M Nawaz, T Nazir, M Masood, F Ali… - … Journal of Imaging …, 2022 - Wiley Online Library
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …

An effective skin cancer classification mechanism via medical vision transformer

S Aladhadh, M Alsanea, M Aloraini, T Khan, S Habib… - Sensors, 2022 - mdpi.com
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of
people every year. Early SC detection can increase the survival rate for patients up to 70 …

Skin cancer detection using combined decision of deep learners

A Imran, A Nasir, M Bilal, G Sun, A Alzahrani… - IEEE …, 2022 - ieeexplore.ieee.org
Cancer is a deadly disease that arises due to the growth of uncontrollable body cells. Every
year, a large number of people succumb to cancer and it's been labeled as the most serious …

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 …

Self-supervised semantic segmentation: Consistency over transformation

S Karimijafarbigloo, R Azad… - Proceedings of the …, 2023 - openaccess.thecvf.com
Accurate medical image segmentation is of utmost importance for enabling automated
clinical decision procedures. However, prevailing supervised deep learning approaches for …

Skin lesion detection using hand-crafted and DL-based features fusion and LSTM

R Mahum, S Aladhadh - Diagnostics, 2022 - mdpi.com
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …

[HTML][HTML] A hybrid approach for melanoma classification using ensemble machine learning techniques with deep transfer learning

MR Thanka, EB Edwin, V Ebenezer… - Computer Methods and …, 2023 - Elsevier
Abstract Generally, Melanoma, Merkel cell cancer, Squamous cell carcinoma, and Basal cell
carcinoma, are the four major categories of skin cancers. In contrast to other cancer types …

[HTML][HTML] Segmentation of skin cancer using Fuzzy U-network via deep learning

A Bindhu, KK Thanammal - Measurement: Sensors, 2023 - Elsevier
The most common cancer in the world is skin cancer. In recent years, one of the most
important challenges to public health has been melanoma, the most dangerous type of skin …