AIMC Topic:
Image Interpretation, Computer-Assisted

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Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.

Ultrasound in medicine & biology Feb 12, 2020
To assist radiologists in breast cancer classification in automated breast ultrasound (ABUS) imaging, we propose a computer-aided diagnosis based on a convolutional neural network (CNN) that classifies breast lesions as benign and malignant. The prop...
Image Interpretation, Computer-Assisted Breast Diseases Deep Learning Principal Component Analysis Area Under Curve Ultrasonography, Mammary Adult Breast Neoplasms Middle Aged Humans Neural Networks, Computer Retrospective Studies Female Aged
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Hierarchical Class Incremental Learning of Anatomical Structures in Fetal Echocardiography Videos.

IEEE journal of biomedical and health informatics Feb 12, 2020
This paper proposes an ultrasound video interpretation algorithm that enables novel classes or instances to be added over time, without significantly compromising prediction abilities on prior representations. The motivating application is diagnostic...
Deep Learning Pregnancy Image Interpretation, Computer-Assisted Humans Female Fetal Heart Echocardiography Algorithms Ultrasonography, Prenatal
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Logarithmic Fuzzy Entropy Function for Similarity Measurement in Multimodal Medical Images Registration.

Computational and mathematical methods in medicine Feb 12, 2020
Multimodal medical images are useful for observing tissue structure clearly in clinical practice. To integrate multimodal information, multimodal registration is significant. The entropy-based registration applies a structure descriptor set to replac...
Entropy Multimodal Imaging Image Interpretation, Computer-Assisted Fuzzy Logic Tomography, X-Ray Computed Humans Neuroimaging Models, Statistical Algorithms Reproducibility of Results Normal Distribution Brain Mapping Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
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RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.

NeuroImage Feb 11, 2020
Segmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy. However, due to noise, motion, and partial volume effects, automated segmentation of lesi...
Image Interpretation, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Neuroimaging Magnetic Resonance Imaging Ischemic Stroke Supervised Machine Learning Humans Reproducibility of Results Brain Neoplasms
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Polyp fingerprint: automatic recognition of colorectal polyps' unique features.

Surgical endoscopy Feb 11, 2020
BACKGROUND: Content-based image retrieval (CBIR) is an application of machine learning used to retrieve images by similarity on the basis of features. Our objective was to develop a CBIR system that could identify images containing the same polyp ('p...
Information Storage and Retrieval Humans Machine Learning Colonoscopy Colonic Polyps Image Interpretation, Computer-Assisted
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Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Feb 10, 2020
Breast cancer accounts for the second-largest number of deaths in women around the world, and more than 8% of women will suffer from the disease in their lifetime. Mortality due to breast cancer can be reduced by its early and precise diagnosis. Many...
Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted Semantics Humans Female Breast Neoplasms Deep Learning
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Fully automatic segmentation of glottis and vocal folds in endoscopic laryngeal high-speed videos using a deep Convolutional LSTM Network.

PloS one Feb 10, 2020
The objective investigation of the dynamic properties of vocal fold vibrations demands the recording and further quantitative analysis of laryngeal high-speed video (HSV). Quantification of the vocal fold vibration patterns requires as a first step t...
Glottis Algorithms Image Interpretation, Computer-Assisted Female Humans Time Factors Adult Databases as Topic Neural Networks, Computer Anatomic Landmarks Endoscopy Vocal Cords Video Recording Larynx
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Exploring linearity of deep neural network trained QSM: QSMnet.

NeuroImage Feb 7, 2020
Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfully performed ill-conditioned dipole inversion in QSM and generated high-quality susceptibility maps. In this paper, the network, which was trained by h...
Adult Deep Learning Magnetic Resonance Imaging Cerebral Hemorrhage Humans Computer Simulation Image Interpretation, Computer-Assisted Artifacts Neuroimaging
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Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism.

European journal of radiology Feb 6, 2020
PURPOSE: To design and evaluate a self-trainable natural language processing (NLP)-based procedure to classify unstructured radiology reports. The method enabling the generation of curated datasets is exemplified on CT pulmonary angiogram (CTPA) repo...
Male Support Vector Machine Natural Language Processing Area Under Curve Pulmonary Embolism Image Interpretation, Computer-Assisted Datasets as Topic Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Pulmonary Artery
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Imaging-Based Algorithm for the Local Grading of Glioma.

AJNR. American journal of neuroradiology Feb 6, 2020
BACKGROUND AND PURPOSE: Gliomas are highly heterogeneous tumors, and optimal treatment depends on identifying and locating the highest grade disease present. Imaging techniques for doing so are generally not validated against the histopathologic crit...
Machine Learning Prospective Studies Female Aged Humans Neoplasm Grading Image Interpretation, Computer-Assisted Neuroimaging Image-Guided Biopsy Middle Aged Imaging, Three-Dimensional Glioma Magnetic Resonance Imaging Adult Brain Neoplasms Male
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