AIMC Topic: Anatomic Landmarks

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Hubless keypoint-based 3D deformable groupwise registration.

Medical image analysis Sep 24, 2019
We present a novel algorithm for Fast Registration Of image Groups (FROG), applied to large 3D image groups. Our approach extracts 3D SURF keypoints from images, computes matched pairs of keypoints and registers the group by minimizing pair distances...
Humans Artificial Intelligence Algorithms Benchmarking Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Anatomic Landmarks
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Automated vertebrae localization and identification by decision forests and image-based refinement on real-world CT data.

La Radiologia medica Sep 14, 2019
PURPOSE: Development of a fully automatic algorithm for the automatic localization and identification of vertebral bodies in computed tomography (CT).
Retrospective Studies Aged Anatomic Landmarks Aged, 80 and over Spine Young Adult Adult Humans Datasets as Topic Middle Aged Machine Learning Multidetector Computed Tomography Algorithms Decision Trees
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Accurate automated Cobb angles estimation using multi-view extrapolation net.

Medical image analysis Aug 9, 2019
Accurate automated quantitative Cobb angle estimation that quantitatively evaluates scoliosis plays an important role in scoliosis diagnosis and treatment. It solves the problem of the traditional manual method, which is the current clinical standard...
Humans Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Deep Learning Image Enhancement Child Scoliosis Anatomic Landmarks
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Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.

Medical image analysis Jul 19, 2019
Grading spondylolisthesis into several stages from MRI images is challenging because detecting critical vertebrae and locating landmarks in images of different characteristics is difficult. We propose Faster Adversarial Recognition (FAR) network to a...
Anatomic Landmarks Image Interpretation, Computer-Assisted Pattern Recognition, Automated Spondylolisthesis Neural Networks, Computer Severity of Illness Index Magnetic Resonance Imaging Humans
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Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

Medical image analysis Jul 15, 2019
The goal of this work was to develop a method for accurate and robust automatic segmentation of the prostate clinical target volume in transrectal ultrasound (TRUS) images for brachytherapy. These images can be difficult to segment because of weak or...
Male Deep Learning Ultrasonography Image Processing, Computer-Assisted Humans Neural Networks, Computer Artifacts Pattern Recognition, Automated Brachytherapy Anatomic Landmarks Prostatic Neoplasms Prostate
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MAPGI: Accurate identification of anatomical landmarks and diseased tissue in gastrointestinal tract using deep learning.

Computers in biology and medicine Jul 10, 2019
Automatic detection of anatomical landmarks and diseases in medical images is a challenging task which could greatly aid medical diagnosis and reduce the cost and time of investigational procedures. Also, two particular challenges of digital image pr...
Gastrointestinal Tract Humans Databases, Factual Sensitivity and Specificity Anatomic Landmarks Endoscopy, Gastrointestinal Deep Learning Image Processing, Computer-Assisted
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Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

Medical image analysis Jun 20, 2019
This paper presents a method for automatic breast pectoral muscle segmentation in mediolateral oblique mammograms using a Convolutional Neural Network (CNN) inspired by the Holistically-nested Edge Detection (HED) network. Most of the existing method...
Breast Neoplasms Diagnosis, Computer-Assisted Humans Mammography Radiographic Image Interpretation, Computer-Assisted Anatomic Landmarks Neural Networks, Computer Pectoralis Muscles Female
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Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks.

Journal of neuroscience methods Jun 12, 2019
BACKGROUND: Human cortical primary sulci are relatively stable landmarks and commonly observed across the population. Despite their stability, the primary sulci exhibit phenotypic variability.
Cerebral Cortex Image Processing, Computer-Assisted Magnetic Resonance Imaging Anatomic Landmarks Neuroimaging Male Female Middle Aged Aged Deep Learning Aged, 80 and over Adult Humans
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Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis.

IEEE transactions on cybernetics Jun 5, 2019
Deep multitask learning for face analysis has received increasing attentions. From literature, most existing methods focus on optimizing a main task by jointly learning several auxiliary tasks. It is challenging to consider the performance of each ta...
Humans Machine Learning Infant, Newborn Aged Databases, Factual Female Child, Preschool Child Image Processing, Computer-Assisted Male Biometric Identification Middle Aged Aged, 80 and over Anatomic Landmarks Infant Young Adult Face Adolescent Adult
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Unsupervised tumor detection in Dynamic PET/CT imaging of the prostate.

Medical image analysis Apr 6, 2019
Early detection and localization of prostate tumors pose a challenge to the medical community. Several imaging techniques, including PET, have shown some success. But no robust and accurate solution has yet been reached. This work aims to detect pros...
Unsupervised Machine Learning Humans Anatomic Landmarks Male Algorithms Positron Emission Tomography Computed Tomography Aged Middle Aged Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Radiopharmaceuticals Prostatic Neoplasms Neoplasm Grading
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