GANs for Data Augmentation in Healthcare
portes grátis
GANs for Data Augmentation in Healthcare
Naved, Mohd; Solanki, Arun
Springer International Publishing AG
11/2023
251
Dura
Inglês
9783031432040
15 a 20 dias
Descrição não disponível.
Chapter. 1. Role of Machine learning in Detection and Classification of Leukemia: A Comparative Analysis.- Chapter. 2. A Review on Mode Collapse Reducing GANs with GAN's Algorithm and Theory.- Chapter. 3. Medical Image Synthesis using Generative Adversarial Networks.- Chapter. 4. Chest X-ray data augmentation with Generative Adversarial Networks for pneumonia and COVID diagnosis.- Chapter. 5. State of the Art Framework based Detection of GAN Generated Face Images.- Chapter. 6. Data Augmentation in Classifying Chest Radiograph Images (CXR) using DCGAN-CNN.- Chapter. 7. Data Augmentation Approaches Using Cycle Consistent Adversarial Networks.- Chapter. 8. Geometric Transformations-based Medical Image Augmentation.- Chapter. 9. Generative Adversarial Learning for Medical Thermal Imaging Analysis.- Chapter. 10. Improving Performance of a Brain Tumor Detection on MRI Images using DCGAN-based Data Augmentation and Vision Transformer(ViT) Approach.- Chapter. 11. Combining Super-Resolution GAN and DC GAN for Enhancing Medical Image Generation: A Study on Improving CNN Model Performance.- Chapter. 12. GAN for Augmenting Cardiac MRI Segmentation.- Chapter. 13. WGAN for Data Augmentation.- Chapter. 14. Image Segmentation in Medical Images by Using Semi - Supervised Methods.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
GANS;Healthcare;Machine Learning;Medical Records;Generative Adversarial Network;GAN based Image Augmentation;Medical Image augmentation;Data Transformation and Augmentation using GAN;Generative Network for Image Generation;Healthcare Imaging Augmentation;Data Augmentation in Healthcare;X-ray Image augmentation;GAN Based Healthcare Image Augmentation;GANs for Dataset creation
Chapter. 1. Role of Machine learning in Detection and Classification of Leukemia: A Comparative Analysis.- Chapter. 2. A Review on Mode Collapse Reducing GANs with GAN's Algorithm and Theory.- Chapter. 3. Medical Image Synthesis using Generative Adversarial Networks.- Chapter. 4. Chest X-ray data augmentation with Generative Adversarial Networks for pneumonia and COVID diagnosis.- Chapter. 5. State of the Art Framework based Detection of GAN Generated Face Images.- Chapter. 6. Data Augmentation in Classifying Chest Radiograph Images (CXR) using DCGAN-CNN.- Chapter. 7. Data Augmentation Approaches Using Cycle Consistent Adversarial Networks.- Chapter. 8. Geometric Transformations-based Medical Image Augmentation.- Chapter. 9. Generative Adversarial Learning for Medical Thermal Imaging Analysis.- Chapter. 10. Improving Performance of a Brain Tumor Detection on MRI Images using DCGAN-based Data Augmentation and Vision Transformer(ViT) Approach.- Chapter. 11. Combining Super-Resolution GAN and DC GAN for Enhancing Medical Image Generation: A Study on Improving CNN Model Performance.- Chapter. 12. GAN for Augmenting Cardiac MRI Segmentation.- Chapter. 13. WGAN for Data Augmentation.- Chapter. 14. Image Segmentation in Medical Images by Using Semi - Supervised Methods.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
GANS;Healthcare;Machine Learning;Medical Records;Generative Adversarial Network;GAN based Image Augmentation;Medical Image augmentation;Data Transformation and Augmentation using GAN;Generative Network for Image Generation;Healthcare Imaging Augmentation;Data Augmentation in Healthcare;X-ray Image augmentation;GAN Based Healthcare Image Augmentation;GANs for Dataset creation
