Search Results - "Man, Zhengxing"

A Two‐Stage CNN‐Based Method for Enhanced Metastasis Segmentation in SPECT Bone Scans.

Authors: He, Yang Lin, Qiang Man, Zhengxing et al.

Source: International Journal of Intelligent Systems; 3/11/2025, Vol. 2025, p1-19, 19p

A Coarse‐to‐Fine Detection Framework for Automated Lung Tumour Detection From 3D PET/CT Images.

Authors: Zhao, Yunlong Lin, Qiang Mao, Junfeng et al.

Source: IET Image Processing (Wiley-Blackwell); Jan-Dec2025, Vol. 19 Issue 1, p1-10, 10p

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging.

Authors: Wu, Yusheng Lin, Qiang He, Yang et al.

Source: EJNMMI Physics. 7/24/2025, Vol. 12 Issue 1, p1-21. 21p.

Fusion of deep and manual features for improved generation of large-size, low-resolution functional medical images.

Authors: Xie, An Lin, Qiang Zeng, Xianwu et al.

Source: Engineering Applications of Artificial Intelligence; May2026, Vol. 172, pN.PAG-N.PAG, 1p

Classifying functional nuclear images with convolutional neural networks: a survey.

Authors: Lin, Qiang Man, Zhengxing Cao, Yongchun et al.

Source: IET Image Processing (Wiley-Blackwell); Dec2020, Vol. 14 Issue 14, p3300-3313, 14p

A three-stage segmentation framework for lung cancer lesion isolation in three-dimensional positron emission tomography images.

Authors: Wu, Yusheng Lin, Qiang Wei, Jingjun et al.

Source: Engineering Applications of Artificial Intelligence; Dec2025:Part B, Vol. 162, pN.PAG-N.PAG, 1p

Analysis and evaluation of college entrance examination questions based on clustering algorithm.

Authors: Mo, Yuqing¹ lxfmyq@126.com

Source: Journal of Combinatorial Mathematics & Combinatorial Computing. Dec2025, Vol. 127b, p7213-7228. 16p.

Bone metastasis scintigram generation using generative adversarial learning with multi‐receptive field learning and two‐stage training.

Authors: Lin, Qiang Xie, An Zeng, Xianwu et al.

Source: Medical Physics. Dec2024, Vol. 51 Issue 12, p8915-8928. 14p.

Subjects: Radionuclide imaging, Image recognition (Computer vision), Bone metastasis, Data augmentation, Single-photon emission computed tomography, Deep learning

Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism.

Authors: Guo, Yanru Lin, Qiang Zhao, Shaofang et al.

Source: Insights into Imaging. 2/9/2022, Vol. 13 Issue 1, p1-13. 13p.

Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

Authors: Lin, Qiang Li, Tongtong Cao, Chuangui et al.

Source: Scientific Reports. 2/19/2021, Vol. 11 Issue 1, p1-15. 15p.

Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images.

Authors: Lin, Qiang Luo, Mingyang Gao, Ruiting et al.

Source: PLoS ONE. 12/3/2020, Vol. 15 Issue 12, p1-18. 18p.

An assembling strategy for DNA cages with minimum strands.

Authors: Deng, Tao Man, Zhengxing Wang, Weilan

Source: Computational Biology & Chemistry; Aug2021, Vol. 93, pN.PAG-N.PAG, 1p

Multiclass classification of whole‐body scintigraphic images using a self‐defined convolutional neural network with attention modules.

Authors: Lin, Qiang Cao, Chuangui Li, Tongtong et al.

Source: Medical Physics. Oct2021, Vol. 48 Issue 10, p5782-5793. 12p.

Subjects: Convolutional neural networks, Radionuclide imaging, Thyroid cancer, Classification