Improving the segmentation accuracy of ovarian-tumor ultrasound images using image inpainting
Diagnostic results can be radically influenced by the quality of 2D ovarian-tumor ultrasound
images. However, clinically processed 2D ovarian-tumor ultrasound images contain many …
images. However, clinically processed 2D ovarian-tumor ultrasound images contain many …
Histology image artifact restoration with lightweight transformer based diffusion model
Histology whole slide images (WSIs) are extensively used in tumor diagnosis and treatment
planning. However, the presence of artifacts resulting from improper operations during WSI …
planning. However, the presence of artifacts resulting from improper operations during WSI …
Multi-task learning for medical image inpainting based on organ boundary awareness
Distorted medical images can significantly hamper medical diagnosis, notably in the
analysis of Computer Tomography (CT) images and organ segmentation specifics …
analysis of Computer Tomography (CT) images and organ segmentation specifics …
Blind image inpainting using pyramid GAN on thyroid ultrasound images
X Li, H Shen, M Yu, X Wei, J Han, J Zhu… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Thyroid ultrasound image is an important basis for artificial intelligence assisted treatment of
thyroid-related diseases, but existing images usually contain special cross symbols which …
thyroid-related diseases, but existing images usually contain special cross symbols which …
Medical image inpainting with edge and structure priors
Image inpainting techniques are widely applied to repair distorted or missing regions in the
image. However, unreasonable results are usually generated due to lack of structural …
image. However, unreasonable results are usually generated due to lack of structural …
Consecutive context perceive generative adversarial networks for serial sections inpainting
S Zhang, L Wang, J Zhang, L Gu, X Jiang, X Zhai… - IEEE …, 2020 - ieeexplore.ieee.org
Image inpainting is a hot topic in computer vision research and has been successfully
applied to both traditional and digital mediums, such as oil paintings or old photos mending …
applied to both traditional and digital mediums, such as oil paintings or old photos mending …
Automatic consecutive context perceived transformer GAN for serial sectioning image blind inpainting
L Wang, S Zhang, L Gu, J Zhang, X Zhai, X Sha… - Computers in Biology …, 2021 - Elsevier
Background and objective Serial sectioning is the routine method in histology study. In order
to restore the defective images in section stack, and overcome the limitations of manual …
to restore the defective images in section stack, and overcome the limitations of manual …
Adversarial inpainting of medical image modalities
Numerous factors could lead to partial deteriorations of medical images. For example,
metallic implants will lead to localized perturbations in MRI scans. This will affect further post …
metallic implants will lead to localized perturbations in MRI scans. This will affect further post …
High-resolution MRI brain inpainting
M Almansour, NM Ghanem… - 2021 IEEE EMBS …, 2021 - ieeexplore.ieee.org
Analyzing diseased brain images is often challenging as the presence of abnormal brain
tissues hinders several image processing tasks, like tissue segmentation and non-rigid …
tissues hinders several image processing tasks, like tissue segmentation and non-rigid …
Coarse-to-fine task-driven inpainting for geoscience images
The processing and recognition of geoscience images have wide applications. Most of
existing researches focus on understanding the high-quality geoscience images by …
existing researches focus on understanding the high-quality geoscience images by …