Application of Artificial Intelligence in the Pathologic Diagnosis and Morphologic Analysis of Malignant Lymphoma

  • Chuang, Wen-Yu (PI)
  • Chang, Hung (CoPI)
  • Hsueh, Chuen (CoPI)
  • Shih, Lee-Yung (CoPI)

Project: National Science and Technology Council › National Science and Technology Council Academic Grants

Project Details

Abstract

本計畫將利用人工智慧，分析多種惡性淋巴瘤的形態特徵，並用來與病人存活及其他各種臨床病理參數進行相關性分析。我們將訓練深度學習演算法，來協助進行各種惡性淋巴瘤的病理診斷及病人風險分群。

Project IDs

Project ID:PC11207-1513
External Project ID:NSTC112-2320-B182-054
StatusFinished
Effective start/end date01/08/23 → 31/07/24

Keywords

  • Artificial intelligence
  • deep learning
  • deep neural network
  • malignant lymphoma
  • nuclear segmentation
  • nuclear morphometry
  • clinicopathologic features
  • morphologic variant
  • tumor grade
  • treatment response
  • high-grade transformation
  • prognosis

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