Generative adversarial networks in medical image augmentation: a review

Y Chen, XH Yang, Z Wei, AA Heidari, N Zheng… - Computers in Biology …, 2022 - Elsevier
Object With the development of deep learning, the number of training samples for medical
image-based diagnosis and treatment models is increasing. Generative Adversarial …

Skin cancer detection: a review using deep learning techniques

M Dildar, S Akram, M Irfan, HU Khan… - International journal of …, 2021 - mdpi.com
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-
repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or …

A survey on generative adversarial networks for imbalance problems in computer vision tasks

V Sampath, I Maurtua, JJ Aguilar Martin, A Gutierrez - Journal of big Data, 2021 - Springer
Any computer vision application development starts off by acquiring images and data, then
preprocessing and pattern recognition steps to perform a task. When the acquired images …

[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …

Artificial intelligence in dermatology image analysis: current developments and future trends

Z Li, KC Koban, TL Schenck, RE Giunta, Q Li… - Journal of clinical …, 2022 - mdpi.com
Background: Thanks to the rapid development of computer-based systems and deep-
learning-based algorithms, artificial intelligence (AI) has long been integrated into the …

A GAN-based image synthesis method for skin lesion classification

Z Qin, Z Liu, P Zhu, Y Xue - Computer Methods and Programs in …, 2020 - Elsevier
Abstract Background and Objective There are many types of skin cancer, and melanoma is
the most lethal one. Dermoscopy is an important imaging technique to screen melanoma …

The Role of generative adversarial network in medical image analysis: An in-depth survey

M AlAmir, M AlGhamdi - ACM Computing Surveys, 2022 - dl.acm.org
A generative adversarial network (GAN) is one of the most significant research directions in
the field of artificial intelligence, and its superior data generation capability has garnered …

Generative models improve fairness of medical classifiers under distribution shifts

I Ktena, O Wiles, I Albuquerque, SA Rebuffi, R Tanno… - Nature Medicine, 2024 - nature.com
Abstract Domain generalization is a ubiquitous challenge for machine learning in
healthcare. Model performance in real-world conditions might be lower than expected …

Cross‐scene pavement distress detection by a novel transfer learning framework

Y Li, P Che, C Liu, D Wu, Y Du - Computer‐Aided Civil and …, 2021 - Wiley Online Library
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …

Skin disease diagnosis with deep learning: A review

H Li, Y Pan, J Zhao, L Zhang - Neurocomputing, 2021 - Elsevier
Skin cancer is one of the most threatening diseases worldwide. However, diagnosing skin
cancer correctly is challenging. Recently, deep learning algorithms have emerged to …