AIMC Topic: Radiomics

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[Deep transfer learning radiomics model based on temporal bone CT for assisting in the diagnosis of inner ear malformations].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Jun 1, 2024
To evaluate the diagnostic efficacy of traditional radiomics, deep learning, and deep learning radiomics in differentiating normal and inner ear malformations on temporal bone computed tomography（CT）. A total of 572 temporal bone CT data were retrosp...
Deep Learning ROC Curve Ear, Inner Temporal Bone Humans Retrospective Studies Tomography, X-Ray Computed Female Sensitivity and Specificity Radiomics Male
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Machine learning and radiomics for predicting efficacy of programmed cell death protein 1 inhibitor for small cell lung cancer: A multicenter cohort study.

Clinical and translational medicine Jun 1, 2024
Humans Machine Learning Female Aged Immune Checkpoint Inhibitors Lung Neoplasms Radiomics Treatment Outcome Programmed Cell Death 1 Receptor Male Small Cell Lung Carcinoma Middle Aged Cohort Studies
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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.
Female Risk Factors Aged Adult Machine Learning Prognosis Retrospective Studies Tomography, X-Ray Computed ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Liver Cirrhosis Radiomics Male Middle Aged Risk Assessment Humans Kaplan-Meier Estimate Liver Predictive Value of Tests Neoplasm Recurrence, Local Hepatectomy
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Radiomics and Deep Learning to Predict Pulmonary Nodule Metastasis at CT.

Radiology Apr 1, 2024
Deep Learning Humans Tomography, X-Ray Computed Radiomics
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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...
Aged Radiomics Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Sarcopenia Muscle, Skeletal Humans Prognosis Retrospective Studies
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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 Spleen Humans Middle Aged Aged, 80 and over Tomography, X-Ray Computed Deep Learning Adult Female Nomograms Stomach Neoplasms Aged Radiomics
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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 Neoplasm Grading Humans Deep Learning Radiomics Adenocarcinoma of Lung Algorithms ROC Curve Retrospective Studies Male Prognosis Lung Neoplasms Tomography, X-Ray Computed Middle Aged 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 ...
Middle Aged ROC Curve Image Processing, Computer-Assisted Neoadjuvant Therapy Magnetic Resonance Imaging Neoplasm Staging Rectal Neoplasms Image Interpretation, Computer-Assisted Aged Adult Radiomics Male Algorithms Prognosis Humans Retrospective Studies Machine Learning Female
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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...
Radiomics Tomography, X-Ray Computed Uterine Cervical Neoplasms Female Middle Aged Image Processing, Computer-Assisted Humans ROC Curve Aged Support Vector Machine Machine Learning Adult Algorithms Retrospective Studies
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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...
Skull Base Computer Simulation Radiomics Neurosurgical Procedures Surgery, Computer-Assisted Humans Artificial Intelligence Machine Learning
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