4 papers
Enhancing Video Object Segmentation in TrackRAD Using XMem Memory Network
Pengchao Deng, Shengqi Chen
This paper presents an advanced tumor segmentation framework for real-time MRI-guided radiotherapy, designed for the TrackRAD2025 challenge. Our method leverages the XMem model, a…
MS-YOLO: A Multi-Scale Model for Accurate and Efficient Blood Cell Detection
Guohua Wu, Shengqi Chen, Pengchao Deng +1
Complete blood cell detection holds significant value in clinical diagnostics. Conventional manual microscopy methods suffer from time inefficiency and diagnostic inaccuracies. Exi…
A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy
Zilin Wang, Shengqi Chen, Jianrong Dai +6
Objective:To develop a no-reference image quality assessment method using automated distortion recognition to boost MRI-guided radiotherapy precision.Methods:We analyzed 106,000 MR…
A Novel Automatic Real-time Motion Tracking Method in MRI-guided Radiotherapy Using Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation
Shengqi Chen, Zilin Wang, Jianrong Dai +6
Background and Purpose: Accurate motion tracking in MRI-guided Radiotherapy (MRIgRT) is essential for effective treatment delivery. This study aimed to enhance motion tracking prec…