Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets
E Goceri - International Journal of Imaging Systems and …, 2023 - Wiley Online Library
This work aims to determine the most suitable technique for dermoscopy image
augmentation to improve the performance of lesion classifications. Also, a new …
augmentation to improve the performance of lesion classifications. Also, a new …
GAN based augmentation using a hybrid loss function for dermoscopy images
E Goceri - Artificial Intelligence Review, 2024 - Springer
Dermatology is the most appropriate field to utilize pattern recognition-based automated
techniques for objective, accurate, and rapid diagnosis because diagnosis mainly relies on …
techniques for objective, accurate, and rapid diagnosis because diagnosis mainly relies on …
Skin lesion synthesis and classification using an improved DCGAN classifier
The prognosis for patients with skin cancer improves with regular screening and checkups.
Unfortunately, many people with skin cancer do not receive a diagnosis until the disease …
Unfortunately, many people with skin cancer do not receive a diagnosis until the disease …
An IoMT-based melanoma lesion segmentation using conditional generative adversarial networks
Currently, Internet of medical things-based technologies provide a foundation for remote
data collection and medical assistance for various diseases. Along with developments in …
data collection and medical assistance for various diseases. Along with developments in …
A review of deep learning and Generative Adversarial Networks applications in medical image analysis
Nowadays, computer-aided decision support systems (CADs) for the analysis of images
have been a perennial technique in the medical imaging field. In CADs, deep learning …
have been a perennial technique in the medical imaging field. In CADs, deep learning …
Clinical utility of breast ultrasound images synthesized by a generative adversarial network
S Zama, T Fujioka, E Yamaga, K Kubota, M Mori… - Medicina, 2023 - mdpi.com
Background and Objectives: This study compares the clinical properties of original breast
ultrasound images and those synthesized by a generative adversarial network (GAN) to …
ultrasound images and those synthesized by a generative adversarial network (GAN) to …
Segmentation of Brain Tumor Using a 3D Generative Adversarial Network
Images of brain tumors may only show up in a small subset of scans, so important details
may be missed. Further, because labeling is typically a labor-intensive and time-consuming …
may be missed. Further, because labeling is typically a labor-intensive and time-consuming …
Computer-aided cancer diagnosis via machine learning and deep learning: a comparative review
S Bechelli - arXiv preprint arXiv:2210.11943, 2022 - arxiv.org
The past years have seen a considerable increase in cancer cases. However, a cancer
diagnosis is often complex and depends on the types of images provided for analysis. It …
diagnosis is often complex and depends on the types of images provided for analysis. It …
[HTML][HTML] Enhancing skin lesion diagnosis with data augmentation techniques: a review of the state-of-the-art
Even if more and more high-quality public datasets are available, one of the biggest
problems with deep learning for skin lesion diagnosis is the scarcity of training samples …
problems with deep learning for skin lesion diagnosis is the scarcity of training samples …
Advances in Melanoma-Nevus Classification Using Artificially Generated Image Data Sets
TJ Brinker - JAMA dermatology, 2023 - jamanetwork.com
The challenging task of skin cancer classification via artificial intelligence (AI) is a combined
effort of dermatologists, patients, and the machinelearning community. 1, 2 A classifier in this …
effort of dermatologists, patients, and the machinelearning community. 1, 2 A classifier in this …