Zhengxing Man

Lanzhou, China

Last Updated: 09/26/2026

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Found 15 publications

BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone Scintigrams

BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone Scintigrams

Journal: Current medical imaging
Published: May 05, 2025

Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion.

Automated diagnosis of pulmonary nodules in 3D PET/CT images using dual-path densely connected networks with cross-modal fusion.

Journal: Quantitative imaging in medicine and surgery
Published: May 01, 2025

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

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

Journal: EJNMMI physics
Published: January 27, 2025

Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams.

Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams.

Journal: Physics in medicine and biology
Published: September 29, 2024

Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning.

Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning.

Journal: Quantitative imaging in medicine and surgery
Published: June 20, 2024

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

Journal: Current medical imaging
Published: May 11, 2024

Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model.

Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model.

Journal: Current medical imaging
Published: September 27, 2023

Semi-supervised segmentation of metastasis lesions in bone scan images.

Semi-supervised segmentation of metastasis lesions in bone scan images.

Journal: Frontiers in molecular biosciences
Published: May 30, 2022

Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework.

Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework.

Journal: Physics in medicine and biology
Published: April 30, 2022

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

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

Journal: Insights into imaging
Published: November 03, 2021

Automated detection of skeletal metastasis of lung cancer with bone scans using convolutional nuclear network.

Automated detection of skeletal metastasis of lung cancer with bone scans using convolutional nuclear network.

Journal: Physics in medicine and biology
Published: September 17, 2021

An assembling strategy for DNA cages with minimum strands.

An assembling strategy for DNA cages with minimum strands.

Journal: Computational biology and chemistry
Published: February 10, 2021
Showing 1-12 of 15

Last Updated: 09/26/2026