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 …

The power of deep learning for intelligent tumor classification systems: A review

M Sachdeva, AKS Kushwaha - Computers and Electrical Engineering, 2023 - Elsevier
A tumor is a life-threatening disease that refers to the abnormal growth of cells in any part of
the human body. Early detection of this abnormality not only helps with appropriate …

Concatenated Xception-ResNet50—A novel hybrid approach for accurate skin cancer prediction

A Panthakkan, SM Anzar, S Jamal… - Computers in Biology and …, 2022 - Elsevier
Skin cancer is a malignant disease that affects millions of people around the world every
year. It is an invasive disease characterised by an abnormal proliferation of skin cells in the …

SBXception: a shallower and broader xception architecture for efficient classification of skin lesions

A Mehmood, Y Gulzar, QM Ilyas, A Jabbari, M Ahmad… - Cancers, 2023 - mdpi.com
Simple Summary Skin cancer is a major concern worldwide, and accurately identifying it is
crucial for effective treatment. we propose a modified deep learning model called …

[HTML][HTML] Combining state-of-the-art pre-trained deep learning models: A noble approach for skin cancer detection using max voting ensemble

MM Hossain, MM Hossain, MB Arefin, F Akhtar, J Blake - Diagnostics, 2023 - mdpi.com
Skin cancer poses a significant healthcare challenge, requiring precise and prompt
diagnosis for effective treatment. While recent advances in deep learning have dramatically …

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 …

An efficient ensemble method for detecting spinal curvature type using deep transfer learning and soft voting classifier

P Tavana, M Akraminia, A Koochari… - Expert Systems with …, 2023 - Elsevier
Scoliosis is a spinal deformity that negatively affects the body's distribution of weight in
several ways. This deformity can be classified as C-shaped or S-shaped. These deformities …

Automatic base-model selection for white blood cell image classification using meta-learning

E Rivas-Posada, MI Chacon-Murguia - Computers in Biology and Medicine, 2023 - Elsevier
Healthcare has benefited from the implementation of deep-learning models to solve medical
image classification tasks. For example, White Blood Cell (WBC) image analysis is used to …

A multi-stage faster RCNN-based iSPLInception for skin disease classification using novel optimization

R Josphineleela, PBV Raja Rao, A Shaikh… - Journal of Digital …, 2023 - Springer
Nowadays, skin cancer is considered a serious disorder in which early identification and
treatment of the disease are essential to ensure the stability of the patients. Several existing …

DermAI 1.0: A robust, generalized, and novel attention-enabled ensemble-based transfer learning paradigm for multiclass classification of skin lesion images

P Sanga, J Singh, AK Dubey, NN Khanna, JR Laird… - Diagnostics, 2023 - mdpi.com
Skin lesion classification plays a crucial role in dermatology, aiding in the early detection,
diagnosis, and management of life-threatening malignant lesions. However, standalone …