Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation

Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation

This research proposes augmenting cropped computed tomography (CT) slices with data attributes to enhance the performance of a deep-learning-based automatic left-femur segmentation scheme. The data attribute is the lying position for the left-femur model. In the study, the deep-learning-based automa...

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Bibliographic Details
Main Authors: Kamonchat Apivanichkul, Pattarapong Phasukkit, Pittaya Dankulchai, Wiwatchai Sittiwong, Tanun Jitwatcharakomol
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
deep learning
automatic segmentation
femur bone
U-Net
attribute augmentation
cropping
Online Access:https://www.mdpi.com/1424-8220/23/12/5720

Internet

https://www.mdpi.com/1424-8220/23/12/5720

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