The VinDr-SpineXR contains 10,469 images from 5,000 studies that are manually annotated with 13 types of abnormalities, each scan was annotated by an expert ... |
VinDr-SpineXR: A deep learning framework forspinal lesions detection and classification from radiographs - vinbigdata-medical/vindr-spinexr. |
24 авг. 2021 г. · The VinDr-SpineXR dataset was created for the purpose of developing and evaluating algorithms for detecting and localizing anomalies in spine X- ... |
24 июн. 2021 г. · This work aims at developing and evaluating a deep learning-based framework, named VinDr-SpineXR, for the classification and localization of abnormalities from ... |
In 2021, Nguyen et al developed a deep learning architecture VinDr-SpineXR (Nguyen et al 2021) , by combining the classification model DenseNet and the anchor- ... |
1 сент. 2021 г. · This work aims at developing and evaluating a deep learning-based framework, named VinDr-SpineXR, for the classification and localization of ... Не найдено: xr | Нужно включить: xr |
30 июн. 2024 г. · Artificial intelligence (AI) is transforming spinal imaging and patient care through automated analysis and enhanced decision-making. |
The VinDr-BodyPartXR is currently the largest dataset to date that provides annotations for developing supervised-learning classification algorithms. Не найдено: spine | Нужно включить: spine |
23 янв. 2024 г. · ... VinDr-SpineXR (10,468 spine radiographs), and an LLM using free-text clinical notes from the same 209 patients, trained via Gatortron. |
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