Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network

Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network

The aim of this study was to segment the maxillary sinus into the maxillary bone, air, and lesion, and to evaluate its accuracy by comparing and analyzing the results performed by the experts. We randomly selected 83 cases of deep active learning. Our active learning framework consists of three step...

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Bibliographic Details
Main Authors: Seok-Ki Jung, Ho-Kyung Lim, Seungjun Lee, Yongwon Cho, In-Seok Song
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Diagnostics
Subjects:
active learning
maxillary sinusitis
convolutional neural network
deep learning
segmentation
Online Access:https://www.mdpi.com/2075-4418/11/4/688

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https://www.mdpi.com/2075-4418/11/4/688

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