CS: A Controllable and Simultaneous Synthesizer of Images and Annotations with Minimal Human Intervention
The destitution of image data and corresponding expert annotations limit the training
capacities of AI diagnostic models and potentially inhibit their performance. To address such …
capacities of AI diagnostic models and potentially inhibit their performance. To address such …
CT image synthesis using weakly supervised segmentation and geometric inter-label relations for COVID image analysis
D Mahapatra, A Singh - arXiv preprint arXiv:2106.10230, 2021 - arxiv.org
While medical image segmentation is an important task for computer aided diagnosis, the
high expertise requirement for pixelwise manual annotations makes it a challenging and …
high expertise requirement for pixelwise manual annotations makes it a challenging and …
COVID-19 CT image synthesis with a conditional generative adversarial network
Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that has spread
rapidly since December 2019. Real-time reverse transcription polymerase chain reaction …
rapidly since December 2019. Real-time reverse transcription polymerase chain reaction …
CCS-GAN: COVID-19 CT Scan Generation and Classification with Very Few Positive Training Images
We present a novel algorithm that is able to generate deep synthetic COVID-19 pneumonia
CT scan slices using a very small sample of positive training images in tandem with a larger …
CT scan slices using a very small sample of positive training images in tandem with a larger …
Medical image synthesis with context-aware generative adversarial networks
Computed tomography (CT) is critical for various clinical applications, eg, radiotherapy
treatment planning and also PET attenuation correction. However, CT exposes radiation …
treatment planning and also PET attenuation correction. However, CT exposes radiation …
Pseudo-label guided image synthesis for semi-supervised covid-19 pneumonia infection segmentation
Coronavirus disease 2019 (COVID-19) has become a severe global pandemic. Accurate
pneumonia infection segmentation is important for assisting doctors in diagnosing COVID …
pneumonia infection segmentation is important for assisting doctors in diagnosing COVID …
Less is more: unsupervised mask-guided annotated CT image synthesis with Minimum manual segmentations
As a pragmatic data augmentation tool, data synthesis has generally returned dividends in
performance for deep learning based medical image analysis. However, generating …
performance for deep learning based medical image analysis. However, generating …
Semi-supervised COVID-19 CT image segmentation using deep generative models
Background A recurring problem in image segmentation is a lack of labelled data. This
problem is especially acute in the segmentation of lung computed tomography (CT) of …
problem is especially acute in the segmentation of lung computed tomography (CT) of …
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis
Medical Image Synthesis (MIS) plays an important role in the intelligent medical field, which
greatly saves the economic and time costs of medical diagnosis. However, due to the …
greatly saves the economic and time costs of medical diagnosis. However, due to the …
SA-GAN: Structure-aware GAN for organ-preserving synthetic CT generation
In medical image synthesis, model training could be challenging due to the inconsistencies
between images of different modalities even with the same patient, typically caused by …
between images of different modalities even with the same patient, typically caused by …