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An Overview of Deep Learning Methods for Left Ventricle Segmentation.
Shoaib, Muhammad Ali; Chuah, Joon Huang; Ali, Raza; Hasikin, Khairunnisa; Khalil, Azira; Hum, Yan Chai; Tee, Yee Kai; Dhanalakshmi, Samiappan; Lai, Khin Wee.
Afiliación
  • Shoaib MA; Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Chuah JH; Faculty of Information and Communication Technology, BUITEMS, Quetta, Pakistan.
  • Ali R; Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Hasikin K; Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Khalil A; Faculty of Information and Communication Technology, BUITEMS, Quetta, Pakistan.
  • Hum YC; Department of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
  • Tee YK; Faculty of Science & Technology, Universiti Sains Islam Malaysia, Nilai 71800, Malaysia.
  • Dhanalakshmi S; Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia.
  • Lai KW; Department of Mechatronics and Biomedical Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia.
Comput Intell Neurosci ; 2023: 4208231, 2023.
Article en En | MEDLINE | ID: mdl-36756163
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Cardiopatías Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Cardiopatías Límite: Humans Idioma: En Revista: Comput Intell Neurosci Asunto de la revista: INFORMATICA MEDICA / NEUROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Malasia Pais de publicación: Estados Unidos