Skin cancer classification with deep learning: a systematic review

Y Wu, B Chen, A Zeng, D Pan, R Wang… - Frontiers in …, 2022 - frontiersin.org
Skin cancer is one of the most dangerous diseases in the world. Correctly classifying skin
lesions at an early stage could aid clinical decision-making by providing an accurate …

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 …

Transfer learning with class-weighted and focal loss function for automatic skin cancer classification

DNT Le, HX Le, LT Ngo, HT Ngo - arXiv preprint arXiv:2009.05977, 2020 - arxiv.org
Skin cancer is by far in top-3 of the world's most common cancer. Among different skin
cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early …

A multilevel features selection framework for skin lesion classification

T Akram, HMJ Lodhi, SR Naqvi, S Naeem… - … -centric Computing and …, 2020 - Springer
Melanoma is considered to be one of the deadliest skin cancer types, whose occurring
frequency elevated in the last few years; its earlier diagnosis, however, significantly …

Skin cancer classification using deep learning and transfer learning

KM Hosny, MA Kassem… - 2018 9th Cairo …, 2018 - ieeexplore.ieee.org
Skin cancer, specially melanoma is one of most deadly diseases. In the color images of skin,
there is a high similarity between different skin lesion like melanoma and nevus, which …

Skin lesion classification using hybrid deep neural networks

A Mahbod, G Schaefer, C Wang… - ICASSP 2019-2019 …, 2019 - ieeexplore.ieee.org
Skin cancer is one of the major types of cancers with an increasing incidence over the past
decades. Accurately diagnosing skin lesions to discriminate between benign and malignant …

Refined residual deep convolutional network for skin lesion classification

KM Hosny, MA Kassem - Journal of Digital Imaging, 2022 - Springer
Skin cancer is the most common type of cancer that affects humans and is usually
diagnosed by initial clinical screening, which is followed by dermoscopic analysis …

A multi-class skin Cancer classification using deep convolutional neural networks

SS Chaturvedi, JV Tembhurne, T Diwan - Multimedia Tools and …, 2020 - Springer
Skin Cancer accounts for one-third of all diagnosed cancers worldwide. The prevalence of
skin cancers have been rising over the past decades. In recent years, use of dermoscopy …

DSCC_Net: multi-classification deep learning models for diagnosing of skin cancer using dermoscopic images

M Tahir, A Naeem, H Malik, J Tanveer, RA Naqvi… - Cancers, 2023 - mdpi.com
Simple Summary This paper proposes a deep learning-based skin cancer classification
network (DSCC_Net) that is based on a convolutional neural network (CNN) and …

An interpretable skin cancer classification using optimized convolutional neural network for a smart healthcare system

K Mridha, MM Uddin, J Shin, S Khadka… - IEEE Access, 2023 - ieeexplore.ieee.org
Skin cancer is a prevalent form of malignancy globally, and its early and accurate diagnosis
is critical for patient survival. Clinical evaluation of skin lesions is essential, but it faces …