SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips

SelectStitch: Automated Frame Segmentation and Stitching to Create Composite Images from Otoscope Video Clips

Background and Objective: the aim of this study is to develop and validate an automated image segmentation-based frame selection and stitching framework to create enhanced composite images from otoscope videos. The proposed framework, called SelectStitch, is useful for classifying eardrum abnormalit...

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Bibliographic Details
Main Authors: Hamidullah Binol, Aaron C. Moberly, Muhammad Khalid Khan Niazi, Garth Essig, Jay Shah, Charles Elmaraghy, Theodoros Teknos, Nazhat Taj-Schaal, Lianbo Yu, Metin N. Gurcan
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
computer-assisted diagnosis
convolutional neural networks
eardrum abnormalities
image stitching
otoscope
semantic segmentation
Online Access:https://www.mdpi.com/2076-3417/10/17/5894

Internet

https://www.mdpi.com/2076-3417/10/17/5894

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