Yeun-Chung Chang
Orcid: 0000-0001-9984-5713
According to our database1,
Yeun-Chung Chang
authored at least 16 papers
between 2012 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
An improved 3-D attention CNN with hybrid loss and feature fusion for pulmonary nodule classification.
Comput. Methods Programs Biomed., February, 2023
2022
J. Digit. Imaging, 2022
One-stage pulmonary nodule detection using 3-D DCNN with feature fusion and attention mechanism in CT image.
Comput. Methods Programs Biomed., 2022
Multi-energy level fusion for nodal metastasis classification of primary lung tumor on dual energy CT using deep learning.
Comput. Biol. Medicine, 2022
2021
Dual energy CT image prediction on primary tumor of lung cancer for nodal metastasis using deep learning.
Comput. Medical Imaging Graph., 2021
2020
CoRR, 2020
2019
Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architecture.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
2017
Comput. Methods Programs Biomed., 2017
2016
Correlation analysis between pulmonary function test parameters and CT image parameters of emphysema.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Quantitative breast mass classification based on the integration of B-mode features and strain features in elastography.
Comput. Biol. Medicine, 2015
2014
Multi-Dimensional Tumor Detection in Automated Whole Breast Ultrasound Using Topographic Watershed.
IEEE Trans. Medical Imaging, 2014
Computerized Breast Mass Detection Using Multi-Scale Hessian-Based Analysis for Dynamic Contrast-Enhanced MRI.
J. Digit. Imaging, 2014
2013
Diagnosis of Solid Breast Tumors Using Vessel Analysis in Three-Dimensional Power Doppler Ultrasound Images.
J. Digit. Imaging, 2013
Computer-aided diagnosis of mass-like lesion in breast MRI: Differential analysis of the 3-D morphology between benign and malignant tumors.
Comput. Methods Programs Biomed., 2013
Region-based graph cut using hierarchical structure with application to ground-glass opacity pulmonary nodules segmentation.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Gibbs-weighted K-means Segmentation Approach with Intensity Inhomogeneity Correction.
Proceedings of the VISAPP 2012, 2012