Publications by authors named "Chundan Zheng"

Article Synopsis
  • The study addresses the challenge of accurately segmenting gross tumor volume (GTV) and metastatic lymph nodes (MLN) in nasopharyngeal carcinoma (NPC) using deep learning on diverse MRI images with few labeled samples.
  • Researchers developed a semi-supervised framework called SIMN, which combines CNN and Transformer models with uncertainty-based techniques to improve boundary delineation across various medical centers.
  • Results show that SIMN achieved high overlap ratios with the ground truth for GTV and MLN segmentation, demonstrating its effectiveness and potential for wider clinical application without the need for extensive fine-tuning.
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Article Synopsis
  • * Our diagnostic algorithm uses deep learning techniques, including cross-attention for fusing PET and CT images and a Q-former architecture for integrating text and image data, which enhances traditional prognostic models by including time as a factor.
  • * Testing on a multicenter dataset showed promising results in predicting patient outcomes, with our model significantly outperforming traditional methods, highlighting its potential to improve personalized treatment in head and neck cancer.
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