Improved Segmentation and Detection Sensitivity of Diffusion-weighted Stroke Lesions with Synthetically Enhanced Deep Learning

PURPOSE: To compare the segmentation and detection performance of a deep learning model trained on a database of human-labeled clinical stroke lesions on diffusion-weighted (DW) images to a model trained on the same database enhanced with synthetic stroke lesions. MATERIALS AND METHODS: In this inst...

詳細記述

保存先:
書誌詳細
出版年:Radiol Artif Intell
主要な著者: Federau, Christian, Christensen, Soren, Scherrer, Nino, Ospel, Johanna M., Schulze-Zachau, Victor, Schmidt, Noemi, Breit, Hanns-Christian, Maclaren, Julian, Lansberg, Maarten, Kozerke, Sebastian
フォーマット: Artigo
言語:Inglês
出版事項: Radiological Society of North America 2020
主題:
Original Research
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8082335/
https://ncbi.nlm.nih.gov/pubmed/33937840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020190217
タグ: タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!

類似資料