DW-Net: A cascaded convolutional neural network for apical four-chamber view segmentation in fetal echocardiography.

Xu, Lu; Liu, Mingyuan; Shen, Zhenrong; Wang, Hua; Liu, Xiaowei; Wang, Xin; Wang, Siyu; Li, Tiefeng; Yu, Shaomei; Hou, Min; Guo, Jianhua; Zhang, Jicong; He, Yihua

Xu, Lu; Liu, Mingyuan; Shen, Zhenrong; Wang, Hua; Liu, Xiaowei; Wang, Xin; Wang, Siyu; Li, Tiefeng; Yu, Shaomei; Hou, Min; Guo, Jianhua; Zhang, Jicong; He, Yihua.

Afiliação

Xu L; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for
Liu M; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for
Shen Z; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for
Wang H; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for
Liu X; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Wang X; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Wang S; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Li T; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yu S; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hou M; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Guo J; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhang J; School of Biological Science and Medical Engineering, Beihang University, Beijing, China; Heifei Innovation Research Institute, Beihang University, Hefei, China; Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China; Beijing Advanced Innovation Centre for
He Y; Department of Ultrasound, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: yihuaheecho@163.com.

Comput Med Imaging Graph ; 80: 101690, 2020 03.

Article em En | MEDLINE | ID: mdl-31968286

Assuntos

Ecocardiografia/métodos; Coração Fetal/diagnóstico por imagem; Redes Neurais de Computação; Ultrassonografia Pré-Natal/métodos; Artefatos; Feminino; Coração Fetal/anatomia & histologia; Cardiopatias Congênitas/diagnóstico por imagem; Humanos; Gravidez

Palavras-chave

Apical four-chamber view; Congenital heart disease; Convolutional neural network; Fetal echocardiography; Semantic segmentation

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecocardiografia / Ultrassonografia Pré-Natal / Redes Neurais de Computação / Coração Fetal Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Female / Humans / Pregnancy Idioma: En Revista: Comput Med Imaging Graph Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google