Medical Image Segmentation with Adjustable Computational Complexity Using Data Density Functionals

Medical Image Segmentation with Adjustable Computational Complexity Using Data Density Functionals

Techniques of automatic medical image segmentation are the most important methods for clinical investigation, anatomic research, and modern medicine. Various image structures constructed from imaging apparatus achieve a diversity of medical applications. However, the diversified structures are also...

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Bibliographic Details
Main Authors: Chien-Chang Chen, Meng-Yuan Tsai, Ming-Ze Kao, Henry Horng-Shing Lu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Applied Sciences
Subjects:
data density functionals
denoising
image segmentation
image compression
Online Access:https://www.mdpi.com/2076-3417/9/8/1718

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