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Related Experiment Video

Updated: Jul 3, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
04:48

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

[Research on deep learning-based pathological image classification of pilonidal sinus].

Qi Wang1,2, Siqi Ben1, Xiuyan Li1,2

  • 1School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|June 28, 2026
PubMed
Summary

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This summary is machine-generated.

This study developed an AI model to predict pilonidal sinus disease (PSD) recurrence using pathological images and clinical data. The model shows promise in identifying patients at high risk, improving quality of life.

Area of Science:

  • Medical Informatics
  • Pathology
  • Artificial Intelligence
Keywords:
Classifier modeClinical characteristicsHistopathological imagesHorizontal and vertical distance networkPilonidal sinus disease

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Last Updated: Jul 3, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
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Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022