ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation-Reference-Cited by-同舟云学术

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ALVLS: Adaptive local variances-Based levelset framework for medical images segmentation

Published:2023-04 Issue: Volume:136 Page:109257
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Shu Xiu,Yang Yunyun^ORCID,Liu Jun,Chang Xiaojun,Wu Boying

Funder

Guangdong Provincial Natural Science Foundation

Shenzhen Science and Technology Innovation Committee

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference40 articles.

1. New fractional-order legendre-fourier moments for pattern recognition applications;Hosny;Pattern Recognit.,2020

2. Learning complete and discriminative direction pattern for robust palmprint recognition;Zhao;IEEE Trans. Image Process.,2020

3. Learning adaptive spatial-temporal context-aware correlation filters for UAV tracking;Yuan;ACM Trans Multimed. Comput. Commun. Appl.,2022

4. Self-supervised deep correlation tracking;Yuan;IEEE Trans. Image Process.,2021

5. A simple weighted thresholding method for the segmentation of pigmented skin lesions in macroscopic images;Zortea;Pattern Recognit.,2017

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