4 citations · 4 across the 3 of their papers we have counts for
4 papers
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing Techniques
Jiayi Liu, Qiaoyi Xue, Youdan Feng +4
The escalating global cancer burden underscores the critical need for precise diagnostic tools in oncology. This research employs deep learning to enhance lesion segmentation in PE…
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer setting
Qiaoyi Xue, Youdan Feng, Jiayi Liu +4
This study explores a workflow for automated segmentation of lesions in FDG and PSMA PET/CT images. Due to the substantial differences in image characteristics between FDG and PSMA…
Interactive 3D Medical Image Segmentation with SAM 2
Chuyun Shen, Wenhao Li, Yuhang Shi +1
Interactive medical image segmentation (IMIS) has shown significant potential in enhancing segmentation accuracy by integrating iterative feedback from medical professionals. Howev…
Whole-Body Lesion Segmentation in 18F-FDG PET/CT
Jia Zhang, Yukun Huang, Zheng Zhang +1
There has been growing research interest in using deep learning based method to achieve fully automated segmentation of lesion in Positron emission tomography computed tomography(P…