Cai Chang

Orcid: 0000-0001-7996-765X

According to our database1, Cai Chang authored at least 21 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A novel image-to-knowledge inference approach for automatically diagnosing tumors.
Expert Syst. Appl., November, 2023

HAL-IA: A Hybrid Active Learning framework using Interactive Annotation for medical image segmentation.
Medical Image Anal., August, 2023

An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers.
Comput. Biol. Medicine, March, 2023

A weakly supervised deep active contour model for nodule segmentation in thyroid ultrasound images.
Pattern Recognit. Lett., January, 2023

Differentiation between Phyllodes Tumors and Fibroadenomas through Breast Ultrasound: Deep-Learning Model Outperforms Ultrasound Physicians.
Sensors, 2023

Weakly Supervised Lesion Detection and Diagnosis for Breast Cancers with Partially Annotated Ultrasound Images.
CoRR, 2023

2022
Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features.
IEEE J. Biomed. Health Informatics, 2022

Joint Localization and Classification of Breast Cancer in B-Mode Ultrasound Imaging via Collaborative Learning With Elastography.
IEEE J. Biomed. Health Informatics, 2022

Ultrasound-based radiomics analysis for preoperative prediction of central and lateral cervical lymph node metastasis in papillary thyroid carcinoma: a multi-institutional study.
BMC Medical Imaging, 2022

2021
Dense Prediction and Local Fusion of Superpixels: A Framework for Breast Anatomy Segmentation in Ultrasound Image With Scarce Data.
IEEE Trans. Instrum. Meas., 2021

Doubly supervised parameter transfer classifier for diagnosis of breast cancer with imbalanced ultrasound imaging modalities.
Pattern Recognit., 2021

Breast calcification detection based on multichannel radiofrequency signals via a unified deep learning framework.
Expert Syst. Appl., 2021

U2F-GAN: Weakly Supervised Super-pixel Segmentation in Thyroid Ultrasound Images.
Cogn. Comput., 2021

Application of preoperative ultrasound features combined with clinical factors in predicting HER2-positive subtype (non-luminal) breast cancer.
BMC Medical Imaging, 2021

2020
Nodule Localization in Thyroid Ultrasound Images with a Joint-Training Convolutional Neural Network.
J. Digit. Imaging, 2020

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

BI-Modal Ultrasound Breast Cancer Diagnosis Via Multi-View Deep Neural Network SVM.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Combining a Fully Convolutional Network and an Active Contour Model for Automatic 2D Breast Tumor Segmentation from Ultrasound Images.
J. Medical Imaging Health Informatics, 2019

Breast Calcifications Detection Based on Radiofrequency Signals by Quantitative Ultrasound Multi-parameter Fusion.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2014
Color-appearance-model based fusion of gray and pseudo-color images for medical applications.
Inf. Fusion, 2014


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