Artificial intelligence in detection and segmentation of internal auditory canal and its nerves using deep learning techniques.

Jeevakala, S; Sreelakshmi, C; Ram, Keerthi; Rangasami, Rajeswaram; Sivaprakasam, Mohanasankar

Jeevakala, S; Sreelakshmi, C; Ram, Keerthi; Rangasami, Rajeswaram; Sivaprakasam, Mohanasankar.

Affiliation

Jeevakala S; Healthcare Technology Innovation Centre, Indian Institute of Technology Madras, Chennai, India. jeevakala@htic.iitm.ac.in.
Sreelakshmi C; Healthcare Technology Innovation Centre, Indian Institute of Technology Madras, Chennai, India.
Ram K; Healthcare Technology Innovation Centre, Indian Institute of Technology Madras, Chennai, India.
Rangasami R; Sri Ramachandra Institute for Higher Education and Research, Chennai, India.
Sivaprakasam M; Healthcare Technology Innovation Centre, Indian Institute of Technology Madras, Chennai, India.

Int J Comput Assist Radiol Surg ; 15(11): 1859-1867, 2020 Nov.

Article de En | MEDLINE | ID: mdl-32964338

Sujet(s)
Mots clés

Internal auditory canal; Localization; Mask R-CNN; Segmentation; U-net

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Apprentissage profond / Oreille interne Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Adult / Child / Humans Langue: En Journal: Int J Comput Assist Radiol Surg Sujet du journal: RADIOLOGIA Année: 2020 Type de document: Article Pays d'affiliation: Inde Pays de publication: Allemagne

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