Showing 1 - 20 results of 22 for search 'HOSPITALITY TRAINING AND DEVELOPMENT', query time: 2.96s Refine Results
  1. 1
    Development and validation of a radiomics signature for clinically significant portal hypertension in cirrhosis (CHESS1701): a prospective multicenter studyResearch in context
    “... model, termed rHVPG for CSPH was developed based on CT images in a training cohort consisted of 222...”
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    Article
  2. 2
    Development and validation of a novel MR imaging predictor of response to induction chemotherapy in locoregionally advanced nasopharyngeal cancer: a randomized controlled trial substudy (NCT01245959)
    “... of tumor response to induction chemotherapy (ICT) was observed. We developed and validated a novel imaging...”
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    Article
  3. 3
    Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort studyResearch in context
    “... in a training cohort and validated in an independent cohort. Overall survival was significantly shorter...”
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    Article
  4. 4
    Radiomics Facilitates Candidate Selection for Irradiation Stents Among Patients With Unresectable Pancreatic Cancer
    “...Purpose: To develop a model to select appropriate candidates for irradiation stent placement among...”
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    Article
  5. 5
    Accurate Preoperative Distinction of Intracranial Hemangiopericytoma From Meningioma Using a Multihabitat and Multisequence-Based Radiomics Diagnostic Technique
    “... 10-year database established at Tiantan hospital. Radiomics analysis of tumor and peritumoral edema...”
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    Article
  6. 6
    Multi-Habitat Based Radiomics for the Prediction of Treatment Response to Concurrent Chemotherapy and Radiation Therapy in Locally Advanced Cervical Cancer
    “...Objectives: To develop a radiomic model based on multiparametric magnetic resonance imaging (MRI...”
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    Article
  7. 7
    Prediction early recurrence of hepatocellular carcinoma eligible for curative ablation using a Radiomics nomogram
    “... imaging show great potential to predict prognosis. Here we aim to develop and validate a radiomics...”
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    Article
  8. 8
    Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images
    “...) to develop a deeply learned score (DLS) to predict the PD-L1 expression status. This developed model...”
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    Article
  9. 9
    Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics
    “...Objective: To develop and evaluate a diffusion-weighted imaging (DWI)-based radiomic nomogram...”
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    Article
  10. 10
    Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer
    “...Abstract Background This study aimed to develope and validate a radiomics nomogram by integrating...”
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    Article
  11. 11
    Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer
    “... the arterial and venous phase images. We trained an artificial neural network (ANN) to develop two single-phase...”
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    Article
  12. 12
    Predicting the Type of Tumor-Related Epilepsy in Patients With Low-Grade Gliomas: A Radiomics Study
    “... epilepsy were enrolled in the retrospective study and divided into training and validation cohorts (1:1...”
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    Article
  13. 13
    Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer
    “... resonance imaging (MRI) is low in assessing normal-sized LNM (diameter, 0–0.8 cm). We aimed to develop a...”
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    Article
  14. 14
    Building CT Radiomics-Based Models for Preoperatively Predicting Malignant Potential and Mitotic Count of Gastrointestinal Stromal Tumors
    “... with the receiver operating characteristics curve. Our study further developed a radiomic nomogram to preoperatively...”
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    Article
  15. 15
    ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment
    “... immunotherapy and prognoses. In this work, we developed a deep learning-based computational framework, termed...”
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    Article
  16. 16
    Radiomic Nomogram Improves Preoperative T Category Accuracy in Locally Advanced Laryngeal Carcinoma
    “... cancer who had undergone total laryngectomy were randomly classified into the training cohort (n = 150...”
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    Article
  17. 17
    Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis
    “...Purpose: Developing an MRI-based radiomics model to effectively and accurately predict...”
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    Article
  18. 18
    Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer
    “... cancer patients with ultrasound images were enrolled from two hospitals as the training set (n = 542...”
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    Article
  19. 19
    A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
    “...) images via the radiomic method to develop a model and validate the potential value of features reflecting...”
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    Article
  20. 20
    A Computed Tomography-Based Radiomic Prognostic Marker of Advanced High-Grade Serous Ovarian Cancer Recurrence: A Multicenter Study
    “... cohorts according to the timing of their surgery and hospital stay: training cohort (TC) and internal...”
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    Article
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