首页|Cancer Hospital Reports Findings in Lung Cancer (A comparison of machine learnin g methods for radiomics modeling in prediction of occult lymph node metastasis i n clinical stage IA lung adenocarcinoma patients)
Cancer Hospital Reports Findings in Lung Cancer (A comparison of machine learnin g methods for radiomics modeling in prediction of occult lymph node metastasis i n clinical stage IA lung adenocarcinoma patients)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Oncology - Lung Cancer is the subject of a report. According tonews reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Accurateprediction of occult lymph node metastasis (ONM) is an important basis for determining whet her lymphnode (LN) dissection is necessary in clinical stage IA lung adenocarci noma patients. The aim of thisstudy is to determine the best machine learning a lgorithm for radiomics modeling and to compare theperformances of the radiomics model, the clinical-radilogical model and the combined model incorporateboth r adiomics features and clinical-radilogical features in preoperatively predicting ONM in clinical stageIA lung adenocarcinoma patients.”
BeijingPeople’s Republic of ChinaAsi aAdenocarcinomaCancerCyborgsEmerging TechnologiesHealth and MedicineHemic and Immune SystemsImmunologyLung CancerLung Diseases and ConditionsLymph NodesLymphoid TissueMachine LearningOncology
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