首页|Baoding First Central Hospital Reports Findings in Personalized Medicine (Value of radiomics and deep learning feature fusion models based on dce-mri in disting uishing sinonasal squamous cell carcinoma from lymphoma)
Baoding First Central Hospital Reports Findings in Personalized Medicine (Value of radiomics and deep learning feature fusion models based on dce-mri in disting uishing sinonasal squamous cell carcinoma from lymphoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report.According to news reporting ou t of Baoding, People’s Republic of China, by NewsRx editors, researchstated, “S inonasal squamous cell carcinoma (SNSCC) and sinonasal lymphoma (SNL) lack disti nct clinical manifestations and traditional imaging characteristics, complicatin g the accurate differentiation betweenthese tumors and the selection of appropr iate treatment strategies. Consequently, there is an urgent needfor a method th at can precisely distinguish between these tumors preoperatively to formulate su itabletreatment plans for patients.”
BaodingPeople’s Republic of ChinaAsi aCancerCarcinomasCyborgsDrugs and TherapiesEmerging TechnologiesHeal th and MedicineHematologyImmunoproliferative DisordersLymphatic Diseases a nd ConditionsLymphomaLymphoproliferative DisordersMachine LearningOncolo gyPersonalized MedicinePersonalized TherapySquamous Cell Carcinoma
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