The appliance consists of: a camera to photograph des background of at least one eye of the patient; a medium for digital storage of the i... G Michelson - US 被引量: 463发表: 2003年 A deep learning-based segmentation method for brain tumor in MR images Accurate tumor segmentation is ...
We exploited 164 patients’ cases for the test dataset. The organ and the original diagnoses are shown in Tables 1 and 2. The most common organs were lung (15.9%), liver (20.1%), female genital tract including uterus and vulva, vagina (10.1%), kidney (9.1%), brain (8.5%), large in...
A SEGA surgery was defined as having 1) a TSC diagnosis code, 2) a benign brain tumor diagnosis code, and 3) a procedure code for removing a benign tumor from cerebral ventricle system. A SEGA diagnosis is defined as 1) and 2). The prevalence rates of postoperative SEGA diagnosis and ...
physicians could change the diagnosis name associated with a code when the name was inappropriate. That this option was used shows the advantage of being able to change diagnoses.
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Each gene present in a cell contains a code for the creation of a specificprotein. The TPR gene contains the code for an eponymous protein. Therefore, cancer samples from patients were assessed for the levels of TPR protein. As expected, levels of TPR were abnormally high in thesetumor ...
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks Article 06 January 2020 Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis Article Open access 27 September 2024 Deep UV-excited fluorescence mic...
We thank the DKFZ sequencing core facility for technical support, assistance with data generation and data management, the DKFZ light microscopy facility for their assistance in generating microscopy images and BeiGene for providing pamiparib. This work was supported by the ICGC PedBrain Tumor Project...