Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs

Hong Jisu; Park Bo-yong; Lee Mi Ji; Chung Chin-Sang; Cha Jihoon; Park Hyunjin

首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs

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Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs

机译：两步深神经网络，用于分割偏头痛的深白物质高原

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摘要

Background and Objective: Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel approach to segmenting deep WMHs using deep neural networks based on the U-Net.

机译：背景和目的：偏头痛患者表现出白质高萎缩性（WMHS），特别是深的WMH的增加。小型，深的WMHS分割是管理偏头痛护理的重要问题。在这里，我们的目标是使用基于U-Net的深度神经网络来开发一种分割深WMH的新方法。

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《Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice》 |2020年第2020期|共9页
作者
Hong Jisu; Park Bo-yong; Lee Mi Ji; Chung Chin-Sang; Cha Jihoon; Park Hyunjin;
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作者单位

Sungkyunkwan Univ Dept Elect &

Comp Engn Suwon 16419 South Korea;

Sungkyunkwan Univ Dept Elect &

Comp Engn Suwon 16419 South Korea;

Sungkyunkwan Univ Samsung Med Ctr Dept Neurol Sch Med Seoul 06351 South Korea;

Sungkyunkwan Univ Samsung Med Ctr Dept Neurol Sch Med Seoul 06351 South Korea;

Yonsei Univ Severance Hosp Res Inst Radiol Sci Dept Radiol Coll Med Seoul 03722 South Korea;

IBS Ctr Neurosci Imaging Res Suwon 16419 South Korea;

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原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
Deep white matter hyperintensity; Segmentation; Deep neural network; Migraine;

机译：深白物质超高度;分割;深神经网络;偏头痛;

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专利

1. Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs [J] . Hong Jisu, Park Bo-yong, Lee Mi Ji, Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2020,第期

机译：两步深神经网络，用于分割偏头痛的深白物质高原
2. Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities [J] . Neurocomputing . 2020,第Apra7期

机译：深度卷积神经网络可准确分割和量化白质高信号
3. Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks [J] . Medical image analysis . 2020,第期

机译：使用疾病演化预测极神经网络自动估计白质超萎缩脑研发中的空间估计
4. NON-UNIFORM PATCH SAMPLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WHITE MATTER HYPERINTENSITY SEGMENTATION [C] . M. Ghafoorian, N. Karssemeijer, T. Heskes, IEEE International Symposium on Biomedical Imaging . 2016

机译：具有深度卷积神经网络的非均匀贴片，用于白质超强度分割
5. Plant Segmentation by Supervised Machine Learning Methods and Phenotypic Trait Extraction of Soybean Plants Using Deep Convolutional Neural Networks with Transfer Learning [D] . Adams, Jason R. 2020

机译：植物分割通过深度卷积神经网络与转移学习的豆豆植物的植物分割和表型特性
6. Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities [O] . Mohsen Ghafoorian, Nico Karssemeijer, Tom Heskes, -1

机译：位置敏感的深度卷积神经网络用于白色物质高强度分割
7. Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities [O] . Ghafoorian M., Karssemeijer N., Heskes T., 2017

机译：位置敏感的深度卷积神经网络用于白色物质高强度分割

Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs

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