AIMC Topic: Neural Networks, Computer

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Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks.

Artificial intelligence in medicine Dec 23, 2019
Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated to be a valid complementary diagnostic tool for early detection and diagnosis of breast cancer. However, without a CAD (Computer Aided Detection) system, manual...
Deep Learning Machine Learning Image Processing, Computer-Assisted Humans Early Detection of Cancer Neural Networks, Computer Breast Magnetic Resonance Imaging Reproducibility of Results Breast Neoplasms
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DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 23, 2019
Fetal echocardiography (FE) is a widely used medical examination for early diagnosis of congenital heart disease (CHD). The apical four-chamber view (A4C) is an important view among early FE images. Accurate segmentation of crucial anatomical structu...
Humans Heart Defects, Congenital Female Pregnancy Ultrasonography, Prenatal Neural Networks, Computer Fetal Heart Echocardiography Artifacts
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High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets.

Cancer immunology research Dec 23, 2019
Computational prediction of binding between neoantigen peptides and major histocompatibility complex (MHC) proteins can be used to predict patient response to cancer immunotherapy. Current neoantigen predictors focus on estimation of MHC binding aff...
Humans Neural Networks, Computer Artificial Intelligence Neoplasms Protein Binding Computational Biology Software Algorithms Data Mining Mutation, Missense Histocompatibility Antigens Class II CD8-Positive T-Lymphocytes Predictive Value of Tests Histocompatibility Antigens Class I Cancer Vaccines Antigens, Neoplasm
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Deep learning of diffraction image patterns for accurate classification of five cell types.

Journal of biophotonics Dec 23, 2019
Development of label-free methods for accurate classification of cells with high throughput can yield powerful tools for biological research and clinical applications. We have developed a deep neural network of DINet for extracting features from cros...
Deep Learning Flow Cytometry Prostate Neural Networks, Computer Humans Male
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Siam-U-Net: encoder-decoder siamese network for knee cartilage tracking in ultrasound images.

Medical image analysis Dec 23, 2019
The tracking of the knee femoral condyle cartilage during ultrasound-guided minimally invasive procedures is important to avoid damaging this structure during such interventions. In this study, we propose a new deep learning method to track, accurate...
Image Processing, Computer-Assisted Cartilage, Articular Male Humans Knee Joint Deep Learning Healthy Volunteers Ultrasonography, Interventional Imaging, Three-Dimensional Neural Networks, Computer Arthroscopy Female
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Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework.

Computer methods and programs in biomedicine Dec 23, 2019
BACKGROUND AND OBJECTIVE: Malposition of the acetabular component causes dislocation and prosthetic impingement after Total Hip Arthroplasty (THA), which significantly affects the postoperative quality of life and implant longevity. The position of t...
Image Processing, Computer-Assisted Pelvis Arthroplasty, Replacement, Hip Automation Tomography, X-Ray Computed Neural Networks, Computer Humans Deep Learning
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Junctionless Poly-GeSn Ferroelectric Thin-Film Transistors with Improved Reliability by Interface Engineering for Neuromorphic Computing.

ACS applied materials & interfaces Dec 23, 2019
Ferroelectric HfZrO (Fe-HZO) with a larger remnant polarization () is achieved by using a poly-GeSn film as a channel material as compared with a poly-Ge film because of the lower thermal expansion that induces higher stress. Then two-stage interface...
Algorithms Semiconductors Transistors, Electronic Neural Networks, Computer
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Accurate and rapid background estimation in single-molecule localization microscopy using the deep neural network BGnet.

Proceedings of the National Academy of Sciences of the United States of America Dec 23, 2019
Background fluorescence, especially when it exhibits undesired spatial features, is a primary factor for reduced image quality in optical microscopy. Structured background is particularly detrimental when analyzing single-molecule images for 3-dimens...
Cell Line Single Molecule Imaging Algorithms Research Design Imaging, Three-Dimensional Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning
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Study on the Classification Performance of Underwater Sonar Image Classification Based on Convolutional Neural Networks for Detecting a Submerged Human Body.

Sensors (Basel, Switzerland) Dec 23, 2019
Auto-detecting a submerged human body underwater is very challenging with the absolute necessity to a diver or a submersible. For the vision sensor, the water turbidity and limited light condition make it difficult to take clear images. For this reas...
Ultrasonic Waves Human Body Neural Networks, Computer Image Processing, Computer-Assisted Humans
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Antimicrobial peptide identification using multi-scale convolutional network.

BMC bioinformatics Dec 23, 2019
BACKGROUND: Antibiotic resistance has become an increasingly serious problem in the past decades. As an alternative choice, antimicrobial peptides (AMPs) have attracted lots of attention. To identify new AMPs, machine learning methods have been commo...
Humans Neural Networks, Computer Peptides
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