Publications by authors named "Yunjia Tian"

Article Synopsis
  • Nuclei segmentation and classification are crucial in digital pathology, but existing deep learning methods often use two separate neural networks, leading to inefficiencies.
  • This paper introduces GSN-HVNET, a lightweight encoder-decoder framework that simultaneously performs segmentation and classification of nuclei, streamlining the process.
  • The model features unique blocks for reduced computational cost and enhanced stability, and it outperforms leading models in accuracy and efficiency based on experimental results.
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