首页|Medical Physics Reports Findings in Cervical Cancer (Automated segmentation in p elvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models)
Medical Physics Reports Findings in Cervical Cancer (Automated segmentation in p elvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Cervical Ca ncer is the subject of a report. Accordingto news reporting from Monza, Italy, by NewsRx journalists, research stated, “Artificial intelligence canstandardize and automatize highly demanding procedures, such as manual segmentation, especi ally in ananatomical site as common as the pelvis. This study investigated four automated segmentation tools oncomputed tomography (CT) images in female and m ale pelvic radiotherapy (RT) starting from simplerand well-known atlas-based me thods to the most recent neural networks-based algorithms.”
MonzaItalyEuropeCancerCervical C ancerCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningOncologyRadiotherapyWomen’s Health
NETL
NSTL
