Detection of COVID-19 Lung Lesions in Computed Tomography Images Using Deep Learning
The novel coronavirus (COVID-19) is a disease that mainly affects the lung tissue. The detection of lesions caused by this disease can help to provide an adequate treatment and monitoring its evolution. This research focuses on the bi nary classification of lung lesions caused by COVID-19 in image...
Saved in:
其他作者: | Mederos, Boris, Mejia, Jose, Rascon Madrigal, Lidia Hortencia, Cota Ruiz, Juan De Dios, Díaz Román, José David |
---|---|
格式: | Artículo |
語言: | en_US |
出版: |
2022
|
主題: | |
在線閱讀: | https://dx.doi.org/10.17488/RMIB.43.1.1 http://rmib.mx/index.php/rmib/article/view/1208 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Framework to Support Radiologist Personnel in the Diagnosis of Diseases in Medical Images Using Deep Learning and Personalized DICOM Tags
由: Sánchez Solís, Julia Patricia
出版: (2024) -
Deep learning model for the identification of pathologies in medical images: 7CP24-35
由: Manuel Rodríguez Contreras, et al.
出版: (2024) -
Mexican traffic sign detection and classification using deep learning
出版: (2022) -
Improving segmentation of liver tumors using deep learning
由: Mejia, Jose
出版: (2020) -
Demystifying Deep Learning Building Blocks
由: Ochoa Domínguez, Humberto
出版: (2024)