| Autor: |
Anito Anto, Linda Rose Jimson, Tanya Rose, Mohammed Jafrin, Mahesh Raveendranatha Panicker |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
SoftwareX, Vol 23, Iss , Pp 101460- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2352-7110 |
| DOI: |
10.1016/j.softx.2023.101460 |
| Popis: |
In the recent past, with the rapid surge of COVID-19 infections, lung ultrasound has emerged as a fast and powerful diagnostic tool particularly for continuous and periodic monitoring of the lung. There have been many attempts towards severity classification, segmentation and detection of key landmarks in the lung. Leveraging the progress, an automated lung ultrasound video analysis package is presented in this work, which can provide summary of key frames in the video, flagging of the key frames with lung infection and options to automatically detect and segment the lung landmarks. The integrated package is implemented as an open-source web application and available in the link https://github.com/anitoanto/alus-package. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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