Semantic Segmentation of Synchrotron Tomography of Multiphase Al-Si Alloys Using a Convolutional Neural Network With a Pixel-Wise Weighted Loss Function

Scientific Reports - United Kingdom
doi 10.1038/s41598-019-56008-7
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Science and Business Media LLC

Related search

Prediction of Protein Function Using a Deep Convolutional Neural Network Ensemble

2017English

Segmentation and Semantic Labeling of RGBD Data With Convolutional Neural Networks and Surface Fitting

IET Computer Vision
Computer VisionPattern RecognitionSoftware
2017English

A Fully Automated System Using a Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-Validation With Giga-Pixel Immunostained Slides

Scientific Reports
Multidisciplinary
2019English

Segmentation of Deformed Kidneys and Nephroblastoma Using Case-Based Reasoning and Convolutional Neural Network

Expert Systems with Applications
EngineeringComputer Science ApplicationsArtificial Intelligence
2019English

Peer Review #1 of "Prediction of Protein Function Using a Deep Convolutional Neural Network Ensemble (V0.3)"

2017English

Peer Review #2 of "Prediction of Protein Function Using a Deep Convolutional Neural Network Ensemble (V0.1)"

2017English

Peer Review #1 of "Prediction of Protein Function Using a Deep Convolutional Neural Network Ensemble (V0.1)"

2017English

Peer Review #1 of "Prediction of Protein Function Using a Deep Convolutional Neural Network Ensemble (V0.2)"

2017English

Linear-Regression Convolutional Neural Network for Fully Automated Coronary Lumen Segmentation in Intravascular Optical Coherence Tomography

Journal of Biomedical Optics
ElectronicOpticsMolecular Physics,OpticalBiomaterialsAtomicMagnetic MaterialsBiomedical Engineering
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy