AIMC Topic: Radiomics
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[Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Nov 30, 2024
OBJECTIVE: To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.
Automatic Segmentation and Radiomics for Identification and Activity Assessment of CTE Lesions in Crohn's Disease.
Inflammatory bowel diseases
Nov 4, 2024
BACKGROUND: The purpose of this article is to develop a deep learning automatic segmentation model for the segmentation of Crohn's disease (CD) lesions in computed tomography enterography (CTE) images. Additionally, the radiomics features extracted f...
An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using CT-Derived Nodules and Adipose Tissue: A Multicenter Study.
Cancer medicine
Nov 1, 2024
BACKGROUND: Correctly distinguishing between benign and malignant pulmonary nodules can avoid unnecessary invasive procedures. This study aimed to construct a deep learning radiomics clinical nomogram (DLRCN) for predicting malignancy of pulmonary no...
Prediction of Glioma enhancement pattern using a MRI radiomics-based model.
Medicine
Sep 6, 2024
Contrast-MRI scans carry risks associated with the chemical contrast agents. Accurate prediction of enhancement pattern of gliomas has potential in avoiding contrast agent administration to patients. This study aimed to develop a machine learning rad...
Clinical utility of an artificial intelligence radiomics-based tool for risk stratification of pulmonary nodules.
JNCI cancer spectrum
Sep 2, 2024
BACKGROUND: Clinical utility data on pulmonary nodule (PN) risk stratification biomarkers are lacking. We aimed to determine the incremental predictive value and clinical utility of using an artificial intelligence (AI) radiomics-based computer-aided...
Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction.
JCO clinical cancer informatics
Sep 1, 2024
PURPOSE: Emerging evidence suggests that the use of artificial intelligence can assist in the timely detection and optimization of therapeutic approach in patients with prostate cancer. The conventional perspective on radiomics encompassing segmentat...
Combining AI and Radiomics to Improve the Accuracy of Breast US.
Radiology
Sep 1, 2024
Machine learning models for differential diagnosing HER2-low breast cancer: A radiomics approach.
Medicine
Aug 16, 2024
To develop machine learning models based on preoperative dynamic enhanced magnetic resonance imaging (DCE-MRI) radiomics and to explore their potential prognostic value in the differential diagnosis of human epidermal growth factor receptor 2 (HER2)-...
CT radiomics-based machine learning model for differentiating between enchondroma and low-grade chondrosarcoma.
Medicine
Aug 16, 2024
It may be difficult to distinguish between enchondroma and low-grade malignant cartilage tumors (grade 1) radiologically. This study aimed to construct machine learning models using 3D computed tomography (CT)-based radiomics analysis to differentiat...
Screening of gastric cancer diagnostic biomarkers in the homologous recombination signaling pathway and assessment of their clinical and radiomic correlations.
Cancer medicine
Aug 1, 2024
BACKGROUND: Homologous recombination plays a vital role in the occurrence and drug resistance of gastric cancer. This study aimed to screen new gastric cancer diagnostic biomarkers in the homologous recombination pathway and then used radiomic featur...
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