Chengdi Wang
Orcid: 0000-0002-5284-2889
According to our database1,
Chengdi Wang
authored at least 10 papers
between 2019 and 2023.
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Bibliography
2023
The Gap in the Thickness: Estimating Effectiveness of Pulmonary Nodule Detection in Thick- and Thin-Section CT Images with 3D Deep Neural Networks.
Comput. Methods Programs Biomed., February, 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics.
CoRR, 2023
Box2Pseudo: A Semi-Supervised Learning Framework for Pulmonary Nodule Segmentation with Box-Prompt Pseudo Supervision.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases.
npj Digit. Medicine, 2022
Automatic Diagnose of Drug-Resistance Tuberculosis from CT Images Based on Deep Neural Networks.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
2021
SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.
Medical Image Anal., 2021
RPLS-Net: pulmonary lobe segmentation based on 3D fully convolutional networks and multi-task learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
2020
MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.
Medical Image Anal., 2020
DeepLN: A framework for automatic lung nodule detection using multi-resolution CT screening images.
Knowl. Based Syst., 2020
2019
J. Medical Syst., 2019