Generative adversarial network in medical imaging

Generative adversarial network in medical imaging: A review

This paper presents a general overview of GANs, describes their promising applications in medical imaging, and identifies some remaining challenges.

Generative Adversarial Network in Medical Imaging: A Review - arXiv

We therefore conducted a review of recent advances in medical imaging using the adversarial training scheme with the hope of benefiting researchers interested ...

A new generative adversarial network for medical images super ...

For medical image analysis, there is always an immense need for rich details in an image. Typically, the diagnosis will be served best if ...

GANs for Medical Image Synthesis: An Empirical Study - PMC

Generative adversarial networks (GANs) have become increasingly powerful, generating mind-blowing photorealistic images that mimic the content of datasets ...

Generative Adversarial Networks (GANs) in Medical Imaging

GANs contribute by generating synthetic medical images, enhancing data quality, and aiding in image segmentation, disease detection, and medical image ...

Narrative review of generative adversarial networks in medical and ...

Recent years have witnessed a rapidly expanding use of artificial intelligence and machine learning in medical imaging. Generative adversarial networks ...

Generative Adversarial Networks: A Primer for Radiologists

Some of the most exciting applications of deep learning in radiology make use of generative adversarial networks (GANs). GANs consist of two ...

Medical Image Generation using Generative Adversarial Networks

This chapter provides state-of-the-art progress in GANs-based clinical application in medical image generation, and cross-modality synthesis.

Advancing Medical Imaging Through Generative Adversarial Networks

Our comprehensive investigation explores the groundbreaking impact of GANs on medical imaging, examining the evolution from traditional techniques to GAN- ...

xinario/awesome-gan-for-medical-imaging - GitHub

Awesome GAN for Medical Imaging. Contribute to xinario/awesome-gan-for-medical-imaging development by creating an account on GitHub.

The role of generative adversarial networks in brain MRI: a scoping ...

The performance of artificial intelligence (AI) for brain MRI can improve if enough data are made available. Generative adversarial networks ...

Generative Adversarial Networks (GANs) in Medical Imaging

Another notable GAN algorithm in the area of medical imaging is UNIT GAN, which enables cross-modal image fusion in medical imaging by learning ...

The Role of Generative Adversarial Network in Medical Image ...

The applications of GAN in medical images including cross-modality, augmentation, detection, classification, and reconstruction were illustrated.

(PDF) Generative Adversarial Networks (GANs) in Medical Imaging

This systematic review offers a complete overview of GANs in medical imaging, encompassing their application domains, models, state-of-the-art results analysis ...

When medical images meet generative adversarial network

This paper investigates the research status of GAN in medical images and analyzes several GAN methods commonly applied in this area.

Medical Image Generation | Papers With Code

Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly ...

Overview of GAN Use in The Medical Field | by Aysen Çeliktaş

... MRI images [4]. The Generative Adversarial Network, is used in expanding image datasets, obtaining high-resolution images through image ...

[PDF] Generative Adversarial Network for Medical Images (MI-GAN)

The proposed MI-GAN generates synthetic medical images and their segmented masks, which can then be used for the application of supervised analysis of ...

Application of generative adversarial networks in image, face ...

This review focuses more on the medical applications using various types of GANs including image augmentation, disease detection, medical image enhancement, ...

Synthetic Medical Imaging Generation with Generative Adversarial ...

The purpose of this investigation was to develop a reusable open-source synthetic image-generation pipeline, the GAN Image Synthesis Tool (GIST), that is easy ...