Auto-segmentation of organs at risk for head and neck radiotherapy planning: From atlas-based to deep learning methods.

Vrtovec, Tomaz; Mocnik, Domen; Strojan, Primoz; Pernus, Franjo; Ibragimov, Bulat

Vrtovec, Tomaz; Mocnik, Domen; Strojan, Primoz; Pernus, Franjo; Ibragimov, Bulat.

Affiliation

Vrtovec T; Faculty Electrical Engineering, University of Ljubljana, Trzaska cesta 25, Ljubljana, SI-1000, Slovenia.
Mocnik D; Faculty Electrical Engineering, University of Ljubljana, Trzaska cesta 25, Ljubljana, SI-1000, Slovenia.
Strojan P; Institute of Oncology Ljubljana, Zaloska cesta 2, Ljubljana, SI-1000, Slovenia.
Pernus F; Faculty Electrical Engineering, University of Ljubljana, Trzaska cesta 25, Ljubljana, SI-1000, Slovenia.
Ibragimov B; Faculty Electrical Engineering, University of Ljubljana, Trzaska cesta 25, Ljubljana, SI-1000, Slovenia.

Med Phys ; 47(9): e929-e950, 2020 Sep.

Article de En | MEDLINE | ID: mdl-32510603

Sujet(s)
Mots clés

auto-segmentation; deep learning; head and neck; organs at risk; radiotherapy planning

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Apprentissage profond / Tumeurs de la tête et du cou Type d'étude: Etiology_studies / Guideline / Qualitative_research / Risk_factors_studies Limites: Humans Langue: En Journal: Med Phys Année: 2020 Type de document: Article Pays d'affiliation: Slovénie Pays de publication: États-Unis d'Amérique

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