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Automatic Pancreas Segmentation Using Coarse-Scaled 2D Model of Deep Learning: Usefulness of Data Augmentation and Deep U-Net

Combinations of data augmentation methods and deep learning architectures for automatic pancreas segmentation on CT images are proposed and evaluated. Images from a public CT dataset of pancreas segmentation were used to evaluate the models. Baseline U-net and deep U-net were chosen for the deep lea...

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Bibliographic Details
Main Authors: Mizuho Nishio, Shunjiro Noguchi, Koji Fujimoto
Format: Artigo
Language:Inglês
Published: MDPI AG 2020-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/10/3360
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