A review of medical image data augmentation techniques for deep learning applications - Chlap - 2021 - Journal of Medical Imaging and Radiation Oncology - Wiley Online Library
![PDF] Image pre-processing: enhance the performance of medical image classification using various data augmentation technique | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/625e07f3fe96e148830e0a74e27f38324688313d/5-Figure3-1.png "PDF] Image pre-processing: enhance the performance of medical image classification using various data augmentation technique | Semantic Scholar")
PDF] Image pre-processing: enhance the performance of medical image classification using various data augmentation technique | Semantic Scholar
Data Augmentation in Medical Images | by Cody Glickman, PhD | Towards Data Science
Deep learning in medical imaging: data augmentation
Examples of images after data augmentation, i.e., deformation,... | Download Scientific Diagram
A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images | Scientific Reports
Frontiers | The Effectiveness of Image Augmentation in Deep Learning Networks for Detecting COVID-19: A Geometric Transformation Perspective
Data Augmentation in Medical Images | by Cody Glickman, PhD | Towards Data Science
Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks | Scientific Reports
Image augmentation: how to overcome small radiology datasets
Illustration of the data augmentation techniques applied to quasi-raw... | Download Scientific Diagram
Deep learning in medical imaging: data augmentation
Dive into Medical Imaging: X-ray Image Augmentation | by Elias Hossain | MLearning.ai | Medium
A deep transfer learning model with classical data augmentation and CGAN to detect COVID-19 from chest CT radiography digital images | SpringerLink
![Archived Post ] Improving Data Augmentation for Medical Image Segmentation | by Jae Duk Seo | Medium](https://miro.medium.com/max/655/1*IeuSvweKRnxHWt9m5CvSpg.png "Archived Post ] Improving Data Augmentation for Medical Image Segmentation | by Jae Duk Seo | Medium")
Archived Post ] Improving Data Augmentation for Medical Image Segmentation | by Jae Duk Seo | Medium
An Introduction to Biomedical Image Analysis with TensorFlow and DLTK — The TensorFlow Blog
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation: Paper and Code - CatalyzeX
Deep Learning in Healthcare — X-Ray Imaging (Part 5-Data Augmentation and Image Normalization) | by Arjun Sarkar | Towards Data Science
Data Augmentation for Chest Pathologies Classification | Semantic Scholar
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks | DeepAI
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification - ScienceDirect
Data Augmentation in Medical Images | by Cody Glickman, PhD | Towards Data Science
A review of medical image data augmentation techniques for deep learning applications - Chlap - 2021 - Journal of Medical Imaging and Radiation Oncology - Wiley Online Library
An example of data augmentation result. From left to right: the... | Download Scientific Diagram
