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Yongchun Cao
Observed name:
Cao Yongchun
Institutions:
Northwest Minzu University,
Gansu Provincial Hospital,
Gansu Provincial Maternal and Child Health Hospital
Observed institutions:
Northwest Minzu University,
North Minzu University,
Gansu Provincial Hospital,
Gansu Provincial Maternal and Child Health Hospital
ORCID:
0009-0003-1729-288X
Observed ORCIDs:
0009-0003-1729-288X,
0009-0003-5699-3611
OpenAlex ID:
A5100308820
Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images
2020
·
Qiang Lin
, Mingyang Luo
, et al.
·
PLoS ONE
·
61
PDF
Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images
2021
·
Qiang Lin
, Tongtong Li
, et al.
·
Scientific Reports
·
60
PDF
Automated detection of skeletal metastasis of lung cancer with bone scans using convolutional nuclear network
2021
·
Tongtong Li
, Qiang Lin
, et al.
·
Physics in Medicine and Biology
·
40
PDF
Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism
2022
·
Yanru Guo
, Qiang Lin
, et al.
·
Insights into Imaging
·
33
Segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision
2022
·
Yongchun Cao
, Liangxia Liu
, et al.
·
Biomedical Signal Processing and Control
·
31
PDF
Multiclass classification of whole‐body scintigraphic images using a self‐defined convolutional neural network with attention modules
2021
·
Qiang Lin
, Chuangui Cao
, et al.
·
Medical Physics
·
22
dSPIC: a deep SPECT image classification network for automated multi-disease, multi-lesion diagnosis
2021
·
Qiang Lin
, Chuangui Cao
, et al.
·
BMC Medical Imaging
·
21
PDF
Semi-supervised segmentation of metastasis lesions in bone scan images
2022
·
Qiang Lin
, Runxia Gao
, et al.
·
Frontiers in Molecular Biosciences
·
20
PDF
Classifying functional nuclear images with convolutional neural networks: a survey
2020
·
Qiang Lin
, Zhengxing Man
, et al.
·
IET Image Processing
·
20
PDF
Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model
2024
·
Yubo Wang
, Qiang Lin
, et al.
·
Current Medical Imaging Formerly Current Medical Imaging Reviews
·
14
Automated Classification of Whole-Body SPECT Bone Scan Images with VGG-Based Deep Networks
2022
·
Qiang Lin
, Zhengxing Man
, et al.
·
The International Arab Journal of Information Technology
·
13
PDF
Bone metastasis segmentation based on Improved U-NET algorithm
2021
·
Jingyi Zhang
, Mengge Huang
, et al.
·
Journal of Physics Conference Series
·
11
PDF
Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework
2022
·
Qiang Lin
, Xiaoyan Chen
, et al.
·
Physics in Medicine and Biology
·
10
PDF
Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning
2024
·
Ailing Xie
, Qiang Lin
, et al.
·
Quantitative Imaging in Medicine and Surgery
·
9
Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams
2025
·
Xiaoqiang Ma
, Qiang Lin
, et al.
·
Physics in Medicine and Biology
·
7
Multimodal Data-driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans using Deep Learning
2024
·
Xiaoqiang Ma
, Qiang Lin
, et al.
·
Current Medical Imaging Formerly Current Medical Imaging Reviews
·
7
Integrating Transfer Learning and Feature Aggregation into Self-defined Convolutional Neural Network for Automated Detection of Lung Cancer Bone Metastasis
2022
·
Yanru Guo
, Qiang Lin
, et al.
·
Journal of Medical and Biological Engineering
·
7
Deep learning SPECT lung perfusion image classification method based on attention mechanism
2021
·
Sitao Zeng
, Yongchun Cao
, et al.
·
Journal of Physics Conference Series
·
7
PDF
Bone metastasis scintigram generation using generative adversarial learning with multi‐receptive field learning and two‐stage training
2024
·
Qiang Lin
, An Xie
, et al.
·
Medical Physics
·
6
Segmentation of bone metastases based on attention mechanism
2021
·
Guoyi Che
, Yongchun Cao
, et al.
·
2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)
·
6
A Two‐Stage CNN‐Based Method for Enhanced Metastasis Segmentation in SPECT Bone Scans
2025
·
Yang He
, Qiang Lin
, et al.
·
International Journal of Intelligent Systems
·
5
PDF
Classification of thoracic bone scintigraphic images using ResNet with attention modules
2022
·
Xu Cao
, Yongchun Cao
, et al.
·
International Conference on Signal Image Processing and Communication (ICSIPC)
·
5
Automatic lesion segmentation of metastases in SPECT images using U-Net-based model
2022
·
Runxia Gao
, Qiang Lin
, et al.
·
International Conference on Signal Image Processing and Communication (ICSIPC)
·
5
Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion
2025
·
Fulu Liao
, Yongchun Cao
, et al.
·
Quantitative Imaging in Medicine and Surgery
·
4
BSci-Seg: A bone scintigram segmentation model for accurately detecting and delineating metastasis lesions using convolutional neural networks
2025
·
Yang He
, Qiang Lin
, et al.
·
Biomedical Signal Processing and Control
·
4
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Works count:
63
Citation count:
477
H-index:
11
I10-index:
13
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