Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning | Zendy

László Ruskó | Zendy; Marta E. Capala | Zendy; Vanda Czipczer | Zendy; Bernadett Kolozsvári | Zendy; Borbála Deák-Karancsi | Zendy; Renáta Czabány | Zendy; Bence Gyalai | Zendy; Tao Tan | Zendy; Zoltán Végváry | Zendy; Emőke Borzási | Zendy; Zsófia Együd | Zendy; Renáta Kószó | Zendy; Viktor Paczona | Zendy; Emese Fodor | Zendy; Chad Bobb | Zendy; C. Cozzini | Zendy; Sandeep Kaushik | Zendy; Barbara Darázs | Zendy; Gerda M. Verduijn | Zendy; R. Pearson | Zendy; Ross J. Maxwell | Zendy; H. McCallum | Zendy; Juan A. HernándezTamames | Zendy; Katalin Hideghéty | Zendy; Steven Petit | Zendy; Florian Wiesinger | Zendy

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Deep-Learning-based Segmentation of Organs-at-Risk in the Head for MR-assisted Radiation Therapy Planning

Author(s) -

László Ruskó,

Marta E. Capala,

Vanda Czipczer,

Bernadett Kolozsvári,

Borbála Deák-Karancsi,

Renáta Czabány,

Bence Gyalai,

Tao Tan,

Zoltán Végváry,

Emőke Borzási,

Zsófia Együd,

Renáta Kószó,

Viktor Paczona,

Emese Fodor,

Chad Bobb,

C. Cozzini,

Sandeep Kaushik,

Barbara Darázs,

Gerda M. Verduijn,

R. Pearson,

Ross J. Maxwell,

H. McCallum,

Juan A. HernándezTamames,

Katalin Hideghéty,

Steven Petit,

Florian Wiesinger

Publication year - 2021

Publication title -

proceedings of the 15th international joint conference on biomedical engineering systems and technologies

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5220/0010235000310043

Subject(s) - segmentation , computer science , artificial intelligence , radiation therapy , head (geology) , computer vision , image segmentation , radiation treatment planning , deep learning , medical physics , radiology , medicine , geology , geomorphology

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