A skin cancer classification approach using gan and roi-based attention mechanism

AAM Teodoro, DH Silva, RL Rosa, M Saadi… - Journal of Signal …, 2023 - Springer
Skin cancer is a complex public health problem and one of the most common types of
cancer worldwide. A biopsy of the skin lesion gives the definitive diagnosis of skin cancer …

[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 …

Using artificial intelligence to predict class loyalty and plagiarism in students in an online blended programming course during the COVID-19 pandemic

JS Wu, TH Chien, LR Chien, CY Yang - Electronics, 2021 - mdpi.com
During the COVID-19 epidemic, most programming courses were revised to distance
learning. However, many problems occurred, such as students pretending to be actively …

Multivariate and Dimensionality-Reduction-Based Machine Learning Techniques for Tumor Classification of RNA-Seq Data

M Al-khassaweneh, M Bronakowski, E Al-Sharoa - Applied Sciences, 2023 - mdpi.com
Cancer, a genetic disease, is considered one of the leading causes of death globally and
affects people of all ages. Ribonucleic acid sequencing (RNA-Seq) is a technique used to …

Exploring the effectiveness of region-based cnns in skin cancer diagnosis

T Mahmud, K Barua, K Chakma, R Chakma… - … Conference on Trends …, 2023 - Springer
Skin cancer poses a significant threat to human health, particularly when early identification
and accurate diagnosis are lacking. Early detection is pivotal for successful treatment, given …

A Convolutional Neural Network Based Prediction Model for Classification of Skin Cancer Images

V Saini, N Rai, N Sharma, VK Shrivastava - International Conference on …, 2022 - Springer
There has been an unprecedented rise in the cases of skin diseases since past few decades
owing to several factors. Among several skin diseases, skin cancer has also taken a steep …

Convolutional neural network for multiclass skin cancer image classification

J Ramya, HC Vijaylakshmi… - … and Informatics (ICCCI), 2023 - ieeexplore.ieee.org
Skin cancer is the most dangerous, having one-third diagnosed rate in worldwide. It is
supposed to spread vastly to other body parts when it is not detected at beginning stage …

Evaluation of High-Dimensional Data Classification for Skin Malignancy Detection Using DL-Based Techniques

B Gunasundari, R Thiagarajan - Cancer Investigation, 2024 - Taylor & Francis
Skin cancer can be detected through visual screening and skin analysis based on the
biopsy and pathological state of the human body. The survival rate of cancer patients is low …

Skin Cancer Classification Using Transfer Learning-Based Pre-Trained VGG 16 Model

A Saini, K Guleria, S Sharma - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Skin is one of the most dangerous types of cancer which affect, millions of people every
year. The identification and treatment of skin cancer is challenging and expensive due to the …

A Comparative Study for Skin Cancer Optimization Based on Deep Learning Techniques

AA Mageed, SA Aziz, A El-Sayed… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Skin cancer is a significant public health concern, necessitating accurate and timely
detection for effective treatment. Deep learning models have emerged as promising tools for …