AIMC Topic: Image Processing, Computer-Assisted

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CA-XTree: Age Estimation of Grouped Gradient Regression Tree with Local Channel Attention.

Computational intelligence and neuroscience May 28, 2022
Face age estimation has been widely used in video surveillance, human-computer interaction, market analysis, image processing analysis, and many fields. There are several problems that need to be solved in image-based face age estimation: (1) redunda...
Humans Attention Problem Solving Neural Networks, Computer Face Image Processing, Computer-Assisted
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Robust deep learning-based semantic organ segmentation in hyperspectral images.

Medical image analysis May 27, 2022
Semantic image segmentation is an important prerequisite for context-awareness and autonomous robotics in surgery. The state of the art has focused on conventional RGB video data acquired during minimally invasive surgery, but full-scene semantic seg...
Image Processing, Computer-Assisted Semantics Swine Deep Learning Neural Networks, Computer Animals
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Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT.

Korean journal of radiology May 27, 2022
OBJECTIVE: To compare a deep learning-based reconstruction (DLR) algorithm for pediatric abdominopelvic computed tomography (CT) with filtered back projection (FBP) and iterative reconstruction (IR) algorithms.
Male Deep Learning Adolescent Child, Preschool Retrospective Studies Tomography, X-Ray Computed Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Child Image Processing, Computer-Assisted
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Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm.

Physics in medicine and biology May 27, 2022
The output of a deep learning (DL) auto-segmentation application should be reviewed, corrected if needed and approved before being used clinically. This verification procedure is labour-intensive, time-consuming and user-dependent, which potentially ...
Machine Learning Algorithms Male Humans Radiotherapy Planning, Computer-Assisted Deep Learning Prostate Image Processing, Computer-Assisted Organs at Risk
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Deep learning for dose assessment in radiotherapy by the super-localization of vaporized nanodroplets in high frame rate ultrasound imaging.

Physics in medicine and biology May 27, 2022
External beam radiotherapy is aimed to precisely deliver a high radiation dose to malignancies, while optimally sparing surrounding healthy tissues. With the advent of increasingly complex treatment plans, the delivery should preferably be verified b...
Phantoms, Imaging Deep Learning Protons Image Processing, Computer-Assisted Ultrasonography Microbubbles
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Optical flow estimation of coronary angiography sequences based on semi-supervised learning.

Computers in biology and medicine May 26, 2022
Optical flow is widely used in medical image processing, such as image registration, segmentation, 3D reconstruction, and temporal super-resolution. However, high-precision optical flow training datasets for medical images are challenging to produce....
Deep Learning Image Processing, Computer-Assisted Supervised Machine Learning Optic Flow Coronary Angiography
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Theoretical Framework to Predict Generalized Contrast-to-Noise Ratios of Photoacoustic Images With Applications to Computer Vision.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control May 26, 2022
The successful integration of computer vision, robotic actuation, and photoacoustic imaging to find and follow targets of interest during surgical and interventional procedures requires accurate photoacoustic target detectability. This detectability ...
Computers Image Processing, Computer-Assisted Signal-To-Noise Ratio Phantoms, Imaging Photoacoustic Techniques Robotics Spectrum Analysis
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Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT.

BMC medical imaging May 26, 2022
OBJECTIVE: We aim to propose a deep learning-based method of automated segmentation of eight brain anatomical regions in head computed tomography (CT) images obtained during positron emission tomography/computed tomography (PET/CT) scans. The brain r...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Deep Learning Positron Emission Tomography Computed Tomography Humans Brain
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Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network.

Oxidative medicine and cellular longevity May 26, 2022
Most multicellular organisms require apoptosis, or programmed cell death, to function properly and survive. On the other hand, morphological and biochemical characteristics of apoptosis have remained remarkably consistent throughout evolution. Apopto...
Algorithms Oxidative Stress Image Processing, Computer-Assisted Neural Networks, Computer
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Diagnosis of Nonperitonealized Colorectal Cancer with Computerized Tomography Image Features under Deep Learning.

Contrast media & molecular imaging May 25, 2022
This study aimed to explore the value of abdominal computerized tomography (CT) three-dimensional reconstruction using the dense residual single-axis super-resolution algorithm in the diagnosis of nonperitonealized colorectal cancer (CC). 103 patient...
Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Colorectal Neoplasms Algorithms
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