Convolutional Neural Networks Cascade for Automatic Pupil and Iris Detection in Ocular Proton Therapy

Convolutional Neural Networks Cascade for Automatic Pupil and Iris Detection in Ocular Proton Therapy

Eye tracking techniques based on deep learning are rapidly spreading in a wide variety of application fields. With this study, we want to exploit the potentiality of eye tracking techniques in ocular proton therapy (OPT) applications. We implemented a fully automatic approach based on two-stage conv...

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Bibliographic Details
Main Authors: Luca Antonioli, Andrea Pella, Rosalinda Ricotti, Matteo Rossi, Maria Rosaria Fiore, Gabriele Belotti, Giuseppe Magro, Chiara Paganelli, Ester Orlandi, Mario Ciocca, Guido Baroni
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
ocular proton therapy
convolutional neural networks
eye tracking
pupil segmentation
iris segmentation
Online Access:https://www.mdpi.com/1424-8220/21/13/4400

Internet

https://www.mdpi.com/1424-8220/21/13/4400

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