基於大腦聯結體特徵預測憂鬱症及不同自殺傾向之深度學習評估系統

Translated title of the contribution: Deep learning evaluation system for predicting depression and different suicidal tendencies based on the characteristics of brain connections

Jun-Cheng Weng (Inventor), Vincent Chin-Hung Chen (Inventor)

Research output: Patent

Abstract

一種基於大腦聯結體特徵預測憂鬱症及不同自殺傾向之深度學習評估系統包含一通訊單元、一儲存單元及一運算單元。該運算單元電連接該通訊單元及該儲存單元,並經由該通訊單元接收來自一磁振造影系統的多個全腦影像,且對每一該全腦影像作通用擴散波數取樣造影分析,進而計算而獲得分別對應三個衍生指標的三種參數影像。該等衍生指標分別是一GFA、一NQA、及一ISO。該運算單元再將該三種參數影像之其中一者輸入該儲存單元所儲存的一深度學習模型,以評估一使用者是否屬於具有自殺企圖的憂鬱症、具有自殺意念的憂鬱症、或不具有自殺想法的憂鬱症。
Translated title of the contributionDeep learning evaluation system for predicting depression and different suicidal tendencies based on the characteristics of brain connections
Original languageChinese (Traditional)
Patent numberM620643
IPCG06F 17/00(2019.01)
StatePublished - 01 12 2021

Bibliographical note

公開公告號: M620643
Announcement ID: M620643

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