A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT

This project aimed to develop and evaluate a fast and fully-automated deep-learning method applying convolutional neural networks with deep supervision (CNN-DS) for accurate hematoma segmentation and volume quantification in computed tomography (CT) scans. Non-contrast whole-head CT scans of 55 pati...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Sci Rep
Egile Nagusiak: Arab, Ali, Chinda, Betty, Medvedev, George, Siu, William, Guo, Hui, Gu, Tao, Moreno, Sylvain, Hamarneh, Ghassan, Ester, Martin, Song, Xiaowei
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Nature Publishing Group UK 2020
Gaiak:
Article
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC7652921/
https://ncbi.nlm.nih.gov/pubmed/33168895
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-76459-7
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!

Antzeko izenburuak