Artificial neural networks for automatic segmentation and identification of nasopharyngeal carcinoma

Journal of Computational Science ◽

10.1016/j.jocs.2017.03.026 ◽

2017 ◽

Vol 21 ◽

pp. 263-274 ◽

Cited By ~ 25

Author(s):

Mazin Abed Mohammed ◽

Mohd Khanapi Abd Ghani ◽

Raed Ibraheem Hamed ◽

Dheyaa Ahmed Ibrahim ◽

Mohamad Khir Abdullah

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Nasopharyngeal Carcinoma ◽

Automatic Segmentation ◽

Artificial Neural

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Dose information prediction for radiation treatment planning of nasopharyngeal carcinoma based on artificial neural networks

10.1145/3500931.3500997 ◽

2021 ◽

Author(s):

Yanyu Chen ◽

Penggang Bai ◽

Xiaoping Qiu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Nasopharyngeal Carcinoma ◽

Treatment Planning ◽

Radiation Treatment ◽

Radiation Treatment Planning ◽

Dose Information ◽

Artificial Neural

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Automatic segmentation of cerebral MR images using artificial neural networks

1996 IEEE Nuclear Science Symposium. Conference Record ◽

10.1109/nssmic.1996.587974 ◽

2002 ◽

Cited By ~ 1

Author(s):

J. Alirezaie ◽

M.E. Jernigan ◽

C. Nahmias

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Automatic Segmentation ◽

Mr Images ◽

Artificial Neural

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An intelligence system approach using artificial neural networks to evaluate the quality of treatment planning for nasopharyngeal carcinoma

Scientific Research and Essays ◽

10.5897/sre11.2193 ◽

2012 ◽

Vol 7 (23) ◽

Author(s):

Tsair-Fwu Lee

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Nasopharyngeal Carcinoma ◽

Treatment Planning ◽

System Approach ◽

Intelligence System ◽

Quality Of Treatment ◽

Artificial Neural

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Automatic segmentation of cerebral MR images using artificial neural networks

IEEE Transactions on Nuclear Science ◽

10.1109/23.708336 ◽

1998 ◽

Vol 45 (4) ◽

pp. 2174-2182 ◽

Cited By ~ 48

Author(s):

J. Alirezaie ◽

M.E. Jernigan ◽

C. Nahmias

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Automatic Segmentation ◽

Mr Images ◽

Artificial Neural

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A portable Raspberry Pi-based system for diagnosis of heart valve diseases using automatic segmentation and artificial neural networks

Cogent Engineering ◽

10.1080/23311916.2020.1856757 ◽

2020 ◽

Vol 7 (1) ◽

pp. 1856757

Author(s):

Abdulkader Joukhadar ◽

Louay Chachati ◽

Mohammed Al-Mohammed ◽

Obada Albasha

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Heart Valve ◽

Automatic Segmentation ◽

Raspberry Pi ◽

Heart Valve Diseases ◽

Artificial Neural ◽

Valve Diseases

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Automatic Segmentation of Brain Structures Using Geometric Moment Invariants and Artificial Neural Networks

Lecture Notes in Computer Science - Information Processing in Medical Imaging ◽

10.1007/978-3-642-02498-6_27 ◽

2009 ◽

pp. 326-337 ◽

Cited By ~ 8

Author(s):

Mostafa Jabarouti Moghaddam ◽

Hamid Soltanian-Zadeh

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Automatic Segmentation ◽

Brain Structures ◽

Moment Invariants ◽

Geometric Moment ◽

Artificial Neural

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Determination of S-N curves with the application of artificial neural networks

Fatigue & Fracture of Engineering Materials & Structures ◽

10.1046/j.1460-2695.1999.00198.x ◽

1999 ◽

Vol 22 (8) ◽

pp. 723-728 ◽

Cited By ~ 1

Author(s):

Artymiak ◽

Bukowski ◽

Feliks ◽

Narberhaus ◽

Zenner

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Artificial Neural

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Applications of artificial neural networks to adaptive training systems.

PsycEXTRA Dataset ◽

10.1037/e456072004-001 ◽

1992 ◽

Author(s):

Peter L. Rothman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Adaptive Training ◽

Training Systems ◽

Artificial Neural

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Use of Artificial Neural Networks for Risk Assessment for Work and Organizational Issues

PsycEXTRA Dataset ◽

10.1037/e666722007-001 ◽

2006 ◽

Author(s):

Maria Karanika ◽

Tom Cox

Keyword(s):

Neural Networks ◽

Risk Assessment ◽

Artificial Neural Networks ◽

Organizational Issues ◽

Artificial Neural

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Artificial neural networks for diagnosis and prognosis in prostate cancer

Seminars in Urologic Oncology ◽

10.1053/suro.2002.32492 ◽

2002 ◽

Vol 20 (2) ◽

pp. 89-95 ◽

Cited By ~ 35

Author(s):

Guido Schwarzer ◽

Martin Schumacher

Keyword(s):

Prostate Cancer ◽

Neural Networks ◽

Artificial Neural Networks ◽

Diagnosis And Prognosis ◽

Artificial Neural

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