Assessment of lymph node area coverage with total marrow irradiation and implementation of total marrow and lymphoid irradiation using automated deep learning-based segmentation.
Hyeon Seok ChoiHyun-Cheol KangEui Kyu ChieKyung Hwan ShinJi Hyun ChangBum-Sup JangPublished in: PloS one (2024)
The dose coverage in the inguinal, external iliac, and para-aortic LN areas was suboptimal when treatment is administered according to the TMI plan. This research demonstrates that the automatic delineation of LN areas using deep learning can facilitate the implementation of TMLI.
Keyphrases
- deep learning
- lymph node
- convolutional neural network
- artificial intelligence
- primary care
- healthcare
- machine learning
- affordable care act
- quality improvement
- aortic valve
- left ventricular
- pulmonary artery
- radiation induced
- squamous cell carcinoma
- heart failure
- health insurance
- sentinel lymph node
- early stage
- coronary artery
- high throughput
- radical prostatectomy
- aortic dissection
- pulmonary arterial hypertension