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Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study



Multi-Center Evaluation of Artificial Intelligent Imaging And Clinical Models For Predicting Neoadjuvant Chemotherapy Response In Breast Cancer


Learning Radiomics sentence examples within Machine Learning Radiomics



Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans.



CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases


Learning Radiomics sentence examples within learning radiomics model



Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease



Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients



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Learning Radiomics sentence examples within learning radiomics application



Abstract IA-05: Deep learning radiomics in cancer imaging



Handcrafted versus deep learning radiomics for prediction of cancer therapy response.


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10.1016/j.ebiom.2021.103442

Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study


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10.21203/rs.3.rs-838461/v1

Multi-Center Evaluation of Artificial Intelligent Imaging And Clinical Models For Predicting Neoadjuvant Chemotherapy Response In Breast Cancer


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10.1007/s00330-021-08293-y

Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study



Predicting the recurrence risk of pancreatic neuroendocrine neoplasms after radical resection using deep learning radiomics with preoperative computed tomography images.


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10.1007/s00330-021-07934-6

Comparing radiomics models with different inputs for accurate diagnosis of significant fibrosis in chronic liver disease


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10.1007/s00330-020-07617-8

Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients



Machine Learning Radiomics Model for Early Identification of Small-Cell Lung Cancer on Computed Tomography Scans.



Deep Learning-Based Prediction of Future Extrahepatic Metastasis and Macrovascular Invasion in Hepatocellular Carcinoma



Deep Learning Radiomics to Predict Regional Lymph Node Staging for Hilar Cholangiocarcinoma



Novel Deep Learning Radiomics Model for Preoperative Evaluation of Hepatocellular Carcinoma Differentiation Based on Computed Tomography Data


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10.1016/j.ijrobp.2021.06.033

3D deep learning model for the pretreatment evaluation of treatment response in locally advanced TESCC: A prospective study.



Preoperative Prediction of Cytokeratin 19 Expression for Hepatocellular Carcinoma with Deep Learning Radiomics Based on Gadoxetic Acid-Enhanced Magnetic Resonance Imaging


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10.1158/1557-3265.ADI21-IA-05

Abstract IA-05: Deep learning radiomics in cancer imaging


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10.1016/J.PATCOG.2021.107942

MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction


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10.1016/j.cmpb.2021.106018

Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification


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10.1186/s12957-021-02259-6

CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma: “Impact of surgical modality choice”


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10.1016/j.ebiom.2021.103522

A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study


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10.1007/s00270-020-02735-8

CT-Based Radiomics Analysis Before Thermal Ablation to Predict Local Tumor Progression for Colorectal Liver Metastases


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10.1007/s00259-021-05573-z

Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma



State of the Art: Machine Learning Applications in Glioma Imaging.


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10.1016/S2589-7500(19)30062-7

Handcrafted versus deep learning radiomics for prediction of cancer therapy response.


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10.1016/J.EJRAD.2019.04.022

A deep learning radiomics model for preoperative grading in meningioma.



MRI-Based Radiomics Predicts Tumor Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer


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