Caixia Liu

According to our database, Caixia Liu authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Lung CT Image Segmentation via Dilated U-Net Model and Multi-scale Gray Correlation-Based Approach.

Caixia Liu, Mingyong Pang

Circuits Syst. Signal Process., March, 2024

The general conformable fractional grey system model and its applications.

Wanli Xie, Wen-Ze Wu, Chong Liu, Caixia Liu, Mingyong Pang

Eng. Appl. Artif. Intell., 2024

Glioma Segmentation from Multimodal MRI Images Based on Superpixel Clustering.

Caixia Liu, Liting Zhou

Proceedings of the 17th International Congress on Image and Signal Processing, 2024

2023

Semantic characteristic grading of pulmonary nodules based on deep neural networks.

Caixia Liu, Ruibin Zhao, Mingyong Pang

BMC Medical Imaging, December, 2023

Segmenting lung parenchyma from CT images with gray correlation-based clustering.

Caixia Liu, Wanli Xie, Ruibin Zhao, Mingyong Pang

IET Image Process., May, 2023

2022

An Improved Grey Model with Time Power and Its Application.

Jianming Jiang, Caixia Liu, Yuanguo Yao, Yumu Lu, Wanli Xie, Chong Liu

Complex., 2022

2021

One-dimensional image surface blur algorithm based on wavelet transform and bilateral filtering.

Caixia Liu, Mingyong Pang

Multim. Tools Appl., 2021

An Assessment Framework for Online Active Learning Performance.

Caixia Liu, Di Zou, Wai Hong Chan, Haoran Xie, Fu Lee Wang

Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021

2020

Pathological lung segmentation based on random forest combined with deep model and multi-scale superpixels.

Caixia Liu, Ruibin Zhao, Wangli Xie, Mingyong Pang

Neural Process. Lett., 2020

Extracting Lungs from CT Images via Deep Convolutional Neural Network Based Segmentation and Two-Pass Contour Refinement.

Caixia Liu, Mingyong Pang

J. Digit. Imaging, 2020

Novel superpixel-based algorithm for segmenting lung images via convolutional neural network and random forest.

Caixia Liu, Mingyong Pang, Ruibin Zhao

IET Image Process., 2020

Automatic lung segmentation based on image decomposition and wavelet transform.

Caixia Liu, Mingyong Pang

Biomed. Signal Process. Control., 2020

2019

Robust Normal Estimation for 3D LiDAR Point Clouds in Urban Environments.

Ruibin Zhao, Mingyong Pang, Caixia Liu, Yanling Zhang

Sensors, 2019

Lung segmentation based on random forest and multi-scale edge detection.

Caixia Liu, Ruibin Zhao, Mingyong Pang

IET Image Process., 2019