PATHOLOGIC COMPLETE RESPONSE PREDICTION AFTER NEOADJUVANT CHEMORADIATION THERAPY FOR RECTAL CANCER USING RADIOMICS AND DEEP EMBEDDING NETWORK OF MRI

Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI

Assessment shiro neon zero of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is essential in rectal cancer staging and treatment planning.However, when predicting the pathologic complete response (pCR) after nCRT for rectal cancer, existing works either rely on simple quantitative evaluation based on radiomics feat

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A quantitative identification method based on CWT and CNN for external and inner broken wires of steel wire ropes

The detection of broken wires in steel wire ropes is bodega de san antonio sangria of great significance for the production safety.However, the existing identification techniques mainly focus on the external broken wires problem.Here, the artificial feature extraction is one of the most important method, while only the prior knowledge of the artifi

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Dynamics of the Negative Discourse Toward COVID-19 Vaccines: Topic Modeling Study and an Annotated Data Set of Twitter Posts

BackgroundSince the onset of the COVID-19 pandemic, vaccines have been an important topic in public discourse.The discussions around vaccines are polarized, as some see them as an important measure to end the pandemic, and others are hesitant or find them harmful.A substantial portion of these discussions occurs openly on social media asus vivobook

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