A generative adversarial network for synthetization of regions of interest based on digital mammograms
Deep learning (DL) models are becoming pervasive and applicable to computer vision,
image processing, and synthesis problems. The performance of these models is often …
image processing, and synthesis problems. The performance of these models is often …
[HTML][HTML] A temporal learning approach to inpainting endoscopic specularities and its effect on image correspondence
Video streams are utilised to guide minimally-invasive surgery and diagnosis in a wide
range of procedures, and many computer-assisted techniques have been developed to …
range of procedures, and many computer-assisted techniques have been developed to …
Voxel representation of brain images inpainting via Regional Pixel Semantic Network and pyramidal attention AE-Quantile differential mechanism model
VM Shobi, FR Dhanaseelan - Computers in Biology and Medicine, 2024 - Elsevier
Medical image inpainting holds significant importance in enhancing the quality of medical
images by restoring missing areas, thereby rendering them suitable for diagnostic purposes …
images by restoring missing areas, thereby rendering them suitable for diagnostic purposes …
How Generative AI Is Transforming Medical Imaging: A Practical Guide
K ELKarazle, V Raman, P Then, C Chua - Applications of generative AI, 2024 - Springer
Medical imaging is a crucial aspect of modern healthcare, as it enables the diagnosis and
treatment of various diseases and conditions. However, developing and deploying AI …
treatment of various diseases and conditions. However, developing and deploying AI …
A method for face image inpainting based on autoencoder and generative adversarial network
Face image inpainting has great value in the fields of computer vision and digital image
processing. In this paper, we propose a face image inpainting method based on …
processing. In this paper, we propose a face image inpainting method based on …
Specular reflections removal in colposcopic images based on neural networks: Supervised training with no ground truth previous knowledge
L Jimenez-Martin, DAV Pérez… - arXiv preprint arXiv …, 2021 - arxiv.org
Cervical cancer is a malignant tumor that seriously threatens women's health, and is one of
the most common that affects women worldwide. For its early detection, colposcopic images …
the most common that affects women worldwide. For its early detection, colposcopic images …
Review on Image Inpainting using Intelligence Mining Techniques.
VM Shobi, FR Dhanaseelan - Advanced Ultrasound in …, 2023 - search.ebscohost.com
Objective: Inpainting is a technique for fixing or removing undesired areas of an image.
Methods: In present scenario, image plays a vital role in every aspect such as business …
Methods: In present scenario, image plays a vital role in every aspect such as business …
Image restoration from parametric transformations using generative models
K Basioti, GV Moustakides - arXiv preprint arXiv:2005.14036, 2020 - arxiv.org
When images are statistically described by a generative model we can use this information
to develop optimum techniques for various image restoration problems as inpainting, super …
to develop optimum techniques for various image restoration problems as inpainting, super …
[PDF][PDF] 313 State-of-the-Art and Development Trend of Interventional Ultrasound in China
Y Qi, D Sun, L Wang, J Yu, P Liang, O Mahmoud… - 2023 - core.ac.uk
In the digital age, the miniaturization of portable ultrasound equipment has brought both
opportunities and challenges to the healthcare industry. Handheld ultrasound (HHU) …
opportunities and challenges to the healthcare industry. Handheld ultrasound (HHU) …
[PDF][PDF] A Method for Face Image Inpainting Based on Autoencoder and Adversarial Generative Network
Face image inpainting has great value in the fields of computer vision and digital image
processing. In this paper, we propose a face image inpainting method based on …
processing. In this paper, we propose a face image inpainting method based on …