CASE REPORT: INTRAFRACTION DOSE-GUIDED TRACKING FOR GASTROINTESTINAL ORGAN-AT-RISK ISOTOXICITY DELIVERY ON AN MR-GUIDED RADIOTHERAPY SYSTEM

Case report: Intrafraction dose-guided tracking for gastrointestinal organ-at-risk isotoxicity delivery on an MR-guided radiotherapy system

In the current era of high-precision radiation therapy, real-time magnetic resonance (MR)-guided tracking of the tumor and organs at risk (OARs) is a novel approach that enables accurate Vita and safe delivery of high-dose radiation.Organ tracking provides a general sense of the need for daily online adaptation but lacks precise information regardi

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habCluster: identifying the geographical boundary among intraspecific units using community detection algorithms in R

Conservation management for a species generally rests on intraspecific units, while identification of their geographic boundaries is necessary for the implementation.Intraspecific units can be discriminated using population genetic methods, yet an analytical approach is still lacking for detecting their geographic boundaries.Here, based on landscap

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LMHistNet: Levenberg–Marquardt Based Deep Neural Network for Classification of Breast Cancer Histopathological Images

Breast cancer is a deadly disease commonly affecting women.One method to avoid death from breast cancer is to obtain a diagnosis early.Breast cancer detection is a significant area that benefits from the technological advancements in artificial intelligence.A deep neural network architecture for the classification of Conga microscopic images of bre

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