Model-Agnostic Post-Processing Based on Recursive Feedback for Medical Image Segmentation

Model-Agnostic Post-Processing Based on Recursive Feedback for Medical Image Segmentation

In medical image segmentation, post-processing can effectively improve the performance of a segmentation model. Existing post-processing methods generally require additional training of a post-processing model using training data or designing a post-processing procedure based on a high level of doma...

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Bibliographic Details
Main Authors: Jaeho Kim, Seokho Kang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Image segmentation
post-processing
recursive feedback
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9625944/

Internet

https://ieeexplore.ieee.org/document/9625944/

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