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Radiomics

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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.

World journal of gastroenterology Apr 21, 2024
BACKGROUND: The prognosis for hepatocellular carcinoma (HCC) in the presence of cirrhosis is unfavourable, primarily attributable to the high incidence of recurrence.
ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Liver Cirrhosis Radiomics Male Middle Aged Risk Assessment Kaplan-Meier Estimate Liver Predictive Value of Tests Neoplasm Recurrence, Local Hepatectomy Humans Machine Learning Prognosis Retrospective Studies Risk Factors Aged Adult Tomography, X-Ray Computed Female
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Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT.

Radiology Apr 1, 2024
Humans Tomography, X-Ray Computed Radiomics Deep Learning
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Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.

Journal of Zhejiang University. Science. B Jan 15, 2024
Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer-related mortalities worldwide (Forner et al., 2018; He et al., 2023). Sarcopenia is a syndrome characterized by an accelerated loss of skeletal muscl...
Humans Prognosis Liver Neoplasms Carcinoma, Hepatocellular Sarcopenia Muscle, Skeletal Retrospective Studies Aged Radiomics Deep Learning
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Deep Learning-based U-Mamba Model to Predict Differentiated Gastric Cancer using Radiomics Features from Spleen Segmentation.

Current medical imaging Jan 1, 2024
OBJECTIVE: This study aimed to develop an automated method for segmenting spleen computed tomography (CT) images using a deep learning model to address the limitations of manual segmentation, which is known to be susceptible to inter-observer variabi...
Male Middle Aged Deep Learning Nomograms Spleen Aged, 80 and over Humans Adult Tomography, X-Ray Computed Stomach Neoplasms Female Radiomics Aged
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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier.

Technology in cancer research & treatment Jan 1, 2024
INTRODUCTION: This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patien...
Adult Humans Radiomics Algorithms Male Deep Learning Neoplasm Grading Middle Aged Prognosis ROC Curve Adenocarcinoma of Lung Retrospective Studies Lung Neoplasms Tomography, X-Ray Computed Neoplasm Staging Female Aged
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Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning Algorithms.

Technology in cancer research & treatment Jan 1, 2024
INTRODUCTION: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate ...
ROC Curve Image Processing, Computer-Assisted Neoadjuvant Therapy Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neoplasm Staging Adult Rectal Neoplasms Machine Learning Prognosis Radiomics Algorithms Retrospective Studies Male Female Middle Aged Aged
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Constructing a Classification Model for Cervical Cancer Tumor Tissue and Normal Tissue Based on CT Radiomics.

Technology in cancer research & treatment Jan 1, 2024
This study aimed to develop an automated classification framework for distinguishing between cervical cancer tumor and normal uterine tissue, leveraging CT images for radiomics feature extraction. We retrospectively analyzed CT images from 117 cervic...
Humans Machine Learning Middle Aged Algorithms Aged ROC Curve Retrospective Studies Adult Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiomics Support Vector Machine Female Uterine Cervical Neoplasms
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Artificial Intelligence, Radiomics, and Computational Modeling in Skull Base Surgery.

Advances in experimental medicine and biology Jan 1, 2024
This chapter explores current artificial intelligence (AI), radiomics, and computational modeling applications in skull base surgery. AI advancements are providing opportunities to improve diagnostic accuracy, surgical planning, and postoperative car...
Neurosurgical Procedures Surgery, Computer-Assisted Machine Learning Skull Base Computer Simulation Radiomics Humans Artificial Intelligence
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Machine Learning and Radiomics in Gliomas.

Advances in experimental medicine and biology Jan 1, 2024
The integration of machine learning (ML) and radiomics is emerging as a pivotal advancement in glioma research, offering novel insights into the diagnosis, prognosis, and treatment of these complex tumors. Radiomics involves the extraction of a multi...
Radiomics Brain Neoplasms Glioma Magnetic Resonance Imaging Neoplasm Grading Image Interpretation, Computer-Assisted Machine Learning Algorithms Precision Medicine Prognosis Humans
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Predicting Bone Marrow Metastasis in Neuroblastoma: An Explainable Machine Learning Approach Using Contrast-Enhanced Computed Tomography Radiomics Features.

Technology in cancer research & treatment Jan 1, 2024
PURPOSE: To predict bone marrow metastasis in neuroblastoma using contrast-enhanced computed tomography (CECT) radiomics features and explainable machine learning.
Male Infant Adolescent Child, Preschool Retrospective Studies Tomography, X-Ray Computed Female Radiomics Bone Marrow Bone Marrow Neoplasms Neuroblastoma Child ROC Curve Support Vector Machine Contrast Media Humans Machine Learning Algorithms
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