AIMC Topic:
Image Interpretation, Computer-Assisted

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A novel deep learning method for automatic assessment of human sperm images.

Computers in biology and medicine Apr 26, 2019
Sperm morphology analysis (SMA) is a very important factor in the diagnosis process of male infertility. This research proposes a novel deep learning algorithm for malformation detection of sperm morphology using human sperm cell images. Our proposed...
Image Interpretation, Computer-Assisted Acrosome Male Deep Learning Semen Analysis Humans
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JointRCNN: A Region-Based Convolutional Neural Network for Optic Disc and Cup Segmentation.

IEEE transactions on bio-medical engineering Apr 25, 2019
OBJECTIVE: The purpose of this paper is to propose a novel algorithm for joint optic disc and cup segmentation, which aids the glaucoma detection.
Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Glaucoma Optic Disk Algorithms Databases, Factual
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Using Surgeon Hand Motions to Predict Surgical Maneuvers.

Human factors Apr 23, 2019
OBJECTIVE: This study explores how common machine learning techniques can predict surgical maneuvers from a continuous video record of surgical benchtop simulations.
Video Recording Image Interpretation, Computer-Assisted Surgical Procedures, Operative Pattern Recognition, Automated Motor Skills Machine Learning Humans Hand
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Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

European radiology Apr 23, 2019
OBJECTIVES: To develop and validate a proof-of-concept convolutional neural network (CNN)-based deep learning system (DLS) that classifies common hepatic lesions on multi-phasic MRI.
Middle Aged Deep Learning ROC Curve United States Magnetic Resonance Imaging Liver Neoplasms Bile Ducts, Intrahepatic Carcinoma, Hepatocellular Adult Sensitivity and Specificity Image Interpretation, Computer-Assisted Female Male Bile Duct Neoplasms Reproducibility of Results Cholangiocarcinoma Aged Humans Neural Networks, Computer
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Preoperative evaluation of tumour consistency in pituitary macroadenomas: a machine learning-based histogram analysis on conventional T2-weighted MRI.

Neuroradiology Apr 22, 2019
PURPOSE: To evaluate the potential value of machine learning (ML)-based histogram analysis (or first-order texture analysis) on T2-weighted magnetic resonance imaging (MRI) for predicting consistency of pituitary macroadenomas (PMA) and to compare it...
Pituitary Neoplasms Adenoma Image Interpretation, Computer-Assisted Humans Male Machine Learning Middle Aged Magnetic Resonance Imaging Retrospective Studies Female Reproducibility of Results
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New Multiparametric Analysis of Cardiac Dyssynchrony: Machine Learning and Prediction of Response to CRT.

JACC. Cardiovascular imaging Apr 17, 2019
Electrocardiography Treatment Outcome Predictive Value of Tests Signal Processing, Computer-Assisted Clinical Decision-Making Ventricular Function, Left Echocardiography Image Interpretation, Computer-Assisted Heart Failure Cardiac Resynchronization Therapy Ventricular Dysfunction, Left Decision Support Techniques Retrospective Studies Humans Machine Learning
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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.

PloS one Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Osteosarcoma Bone Neoplasms Image Interpretation, Computer-Assisted Deep Learning Humans Necrosis Datasets as Topic ROC Curve Software Bone and Bones Reproducibility of Results Support Vector Machine
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A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Radiology Apr 16, 2019
Imaging research laboratories are rapidly creating machine learning systems that achieve expert human performance using open-source methods and tools. These artificial intelligence systems are being developed to improve medical image reconstruction, ...
Machine Learning Algorithms Humans Biomedical Research Artificial Intelligence Diagnostic Imaging Image Interpretation, Computer-Assisted
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Longitudinal Prediction of Infant Diffusion MRI Data via Graph Convolutional Adversarial Networks.

IEEE transactions on medical imaging Apr 15, 2019
Missing data is a common problem in longitudinal studies due to subject dropouts and failed scans. We present a graph-based convolutional neural network to predict missing diffusion MRI data. In particular, we consider the relationships between sampl...
Humans Neural Networks, Computer Brain Diffusion Magnetic Resonance Imaging Infant, Newborn Image Interpretation, Computer-Assisted Child Development
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Machine Learning for Diagnosis of Hematologic Diseases in Magnetic Resonance Imaging of Lumbar Spines.

Scientific reports Apr 15, 2019
We aimed to assess feasibility of a support vector machine (SVM) texture classifier to discriminate pathologic infiltration patterns from the normal bone marrows in MRI. This retrospective study included 467 cases, which were split into a training (n...
Middle Aged ROC Curve Humans Support Vector Machine Feasibility Studies Retrospective Studies Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Datasets as Topic Aged Radiologists Hematologic Diseases Male Lumbar Vertebrae Bone Marrow
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