{
  "id": 8218,
  "url": "https://doi.org/10.18632/oncotarget.18001",
  "title": "Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features",
  "summary": "// Xin Zhang 1, * , Lin-Feng Yan 1, * , Yu-Chuan Hu 1 , Gang Li 2 , Yang Yang 1 , Yu Han 1 , Ying-Zhi Sun 1 , Zhi-Cheng Liu 1 , Qiang Tian 1 , Zi-Yang Han 3 , Le-De Liu 3 , Bin-Quan Hu 3 , Zi-Yu Qiu 3 , Wen Wang 1 and Guang-Bin Cui 1 1 Department of Radiology, Tangdu Hospital, The Fourth Military Medical University, Xi’an 710038, Shaanxi, P.R. China 2 Department of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi’an 710038, Shaanxi, P.R. China 3 Student Briga",
  "authors": "Xin Zhang, Lin‐Feng Yan, Yu‐Chuan Hu, Gang Li, Yang Yang, Yu Han",
  "category": "research",
  "topics": "healthcare,military-security,children-education",
  "orgs": null,
  "regions": "china",
  "published_at": "2017-05-18T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:34.091Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8218",
  "original_url": "https://doi.org/10.18632/oncotarget.18001",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}