Waiting
Login processing...

Trial ends in Request Full Access Tell Your Colleague About Jove
Journal / Engineering / Anvendelse af deep learning-baseret medicinsk…
JoVE Journal
Engineering

This content is Free Access.

JoVE Journal Engineering
Anvendelse af deep learning-baseret medicinsk billedsegmentering via orbital computertomografi
Characterization of Anisotropic Leaky Mode Modulators for Holovideo
Journal (Engineering)
Characterization of Anisotropic Leaky Mode Modulators for Holovideo
Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
Journal (Engineering)
Fabrication of Flexible Image Sensor Based on Lateral NIPIN Phototransistors
 
Click here for the English version

Anvendelse af deep learning-baseret medicinsk billedsegmentering via orbital computertomografi

Article DOI: 10.3791/64500-v • 04:48 min • November 30th, 2022
November 30th, 2022 •
1,2, 3, 4, 1,5
1College of Medicine, The Catholic University of Korea, 2Department of Ophthalmology, St. Vincent’s Hospital, 3Yeoncheon Public Medical Center, 4Department of Industrial and Data Engineering, Hongik University, 5Department of Ophthalmology, Uijeongbu St. Mary’s Hospital

Chapters

Summary
Automatic Translation

Please note that all translations are automatically generated.

Click here for the English version.

En objektsegmenteringsprotokol til orbital computertomografi (CT) billeder introduceres. Metoderne til mærkning af jordens sandhed om orbitalstrukturer ved hjælp af superopløsning, udtrækning af mængden af interesse fra CT-billeder og modellering af multi-label segmentering ved hjælp af 2D sekventiel U-Net til orbitale CT-billeder forklares til overvåget læring.

Tags

Ingeniørarbejde udgave 189
Read Article

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter