Results 21 to 30 of about 646,393 (224)
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models [PDF]
arXiv, 2022 Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models (DM) have shown great potentials for high-quality image synthesis, and have gained competitive performance on the task of image-to-image translation. However, most of the existing diffusion models treat image-to-image translation
arxiv
Role of Computer Aided Diagnosis (CAD) in Medical Imaging
Central Asian Journal of Medical Sciences, 2015 Objectives: We introduce the various methods of image analysis used for CAD. In addition, we provide a guide for the clinician through examples which use the CAD.
Seung Won Shin, Kwang Gi Kim
doaj +1 more source
Cytomorphometric Study of Changes in Buccal Mucosal Cells in Alcoholics
Advanced Biomedical Research, 2020 Background: Chronic alcohol consumption carries a high risk for oral and pharyngeal cancers among persons who have never smoked. Excessive alcohol consumption displays cytogenetic changes in oral mucosa cells.
Banushree Chandrasekhar Srinivasamurthy +4 more
doaj +1 more source
Domestic three-dimensional scanner and printer in patients undergoing rhinoplasty [PDF]
Revista Brasileira de Cirurgia Plástica, 2018 The principles for a successful rhinoplasty include preoperative consultation and planning, as well as a comprehensive clinical analysis and defining rhinoplasty goals. Three-dimensional domestic scanning and printing have recently become available.
Denis Souto Valente, Niveo Steffen
doaj +1 more source
Diagnostics, 2021 Nuclei instance segmentation can be considered as a key point in the computer-mediated analysis of histological fluorescence-stained (FS) images. Many computer-assisted approaches have been proposed for this task, and among them, supervised deep learning
Amirreza Mahbod +5 more
doaj +1 more source
DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images [PDF]
arXiv, 2023 Imaging under extremely low-light conditions presents a significant challenge and is an ill-posed problem due to the low signal-to-noise ratio (SNR) caused by minimal photon capture. Previously, diffusion models have been used for multiple kinds of generative tasks and image-to-image tasks, however, these models work as a post-processing step.
arxiv
Automated follicular assessment using a novel two-dimensional ultrasound-based solution
Journal of Medical Ultrasound, 2021 Background: High intra- and interobserver variability in the follicular assessment using two-dimensional (2D) ultrasound (US) is still a concern. To solve this issue, we have developed a novel software solution, which automatically provides follicles ...
Celine Firtion +6 more
doaj +1 more source
Study on Image Filtering -- Techniques, Algorithm and Applications [PDF]
arXiv, 2022 Image processing is one of the most immerging and widely growing techniques making it a lively research field. Image processing is converting an image to a digital format and then doing different operations on it, such as improving the image or extracting various valuable data. Image filtering is one of the fascinating applications of image processing.
arxiv
Deep Decomposition Network for Image Processing: A Case Study for Visible and Infrared Image Fusion [PDF]
arXiv, 2021 Image decomposition is a crucial subject in the field of image processing. It can extract salient features from the source image. We propose a new image decomposition method based on convolutional neural network. This method can be applied to many image processing tasks.
arxiv
AJOG Global Reports, 2023 BACKGROUND: Preimplantation genetic testing for aneuploidy has been proven to be effective in determining the embryo's chromosomal or ploidy status. The test requires a biopsy of embryonic cells on day 3, 5, or 6 from which complete information on the ...
Gunawan Bondan Danardono, SKom, BEng +8 more
doaj