AIMC Topic: Radiomics

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A multi-instance tumor subtype classification method for small PET datasets using RA-DL attention module guided deep feature extraction with radiomics features.

Computers in biology and medicine Apr 9, 2024
BACKGROUND: Positron emission tomography (PET) is extensively employed for diagnosing and staging various tumors, including liver cancer, lung cancer, and lymphoma. Accurate subtype classification of tumors plays a crucial role in formulating effecti...
Deep Learning Liver Neoplasms Lung Neoplasms Support Vector Machine Positron-Emission Tomography Radiomics Humans Neoplasms Image Interpretation, Computer-Assisted Databases, Factual
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Development and validation of an ultrasound-based deep learning radiomics nomogram for predicting the malignant risk of ovarian tumours.

Biomedical engineering online Apr 9, 2024
BACKGROUND: The timely identification and management of ovarian cancer are critical determinants of patient prognosis. In this study, we developed and validated a deep learning radiomics nomogram (DLR_Nomogram) based on ultrasound (US) imaging to acc...
Radiomics Deep Learning Ultrasonography Nomograms Ovarian Neoplasms Humans Retrospective Studies Female
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CT-based radiomics research for discriminating the risk stratification of pheochromocytoma using different machine learning models: a multi-center study.

Abdominal radiology (New York) Apr 8, 2024
OBJECTIVES: The purpose of this study was to explore and verify the value of various machine learning models in preoperative risk stratification of pheochromocytoma.
Aged Adult Radiomics Male Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Interpretation, Computer-Assisted Pheochromocytoma Middle Aged Risk Assessment Adrenal Gland Neoplasms Humans Machine Learning
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Duodenal papilla radiomics-based prediction model for post-ERCP pancreatitis using machine learning: a retrospective multicohort study.

Gastrointestinal endoscopy Apr 6, 2024
BACKGROUND AND AIMS: The duodenal papillae are the primary and essential pathway for ERCP, greatly determining its complexity and outcome. We investigated the association between papilla morphology and post-ERCP pancreatitis (PEP) and constructed a r...
Humans Machine Learning Middle Aged Adult Pancreatitis Deep Learning Radiomics Ampulla of Vater ROC Curve Retrospective Studies Male Predictive Value of Tests Female Cholangiopancreatography, Endoscopic Retrograde Aged
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Hounsfield units: Future applications in clinical practice, radiomics, and Artificial Intelligence.

Clinical imaging Apr 6, 2024
Artificial Intelligence Forecasting Radiomics Humans
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Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Apr 1, 2024
OBJECTIVE: This study aims to use machine learning techniques together with radiomics methods to build a preoperative predictive diagnostic model from spiral computed tomography (CT) images. The model is intended for the differential diagnosis of com...
Female Aged Adult Radiomics Humans Diagnosis, Differential Machine Learning Predictive Value of Tests Retrospective Studies Male Tomography, Spiral Computed Middle Aged Jaw Cysts Case-Control Studies
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Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images.

Frontiers in endocrinology Mar 28, 2024
PURPOSE: To develop and validate a deep learning radiomics (DLR) model that uses X-ray images to predict the classification of osteoporotic vertebral fractures (OVFs).
X-Rays Osteoporotic Fractures Spine Random Allocation Spinal Fractures Humans Radiomics Deep Learning
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Radiomics-based machine learning in the differentiation of benign and malignant bowel wall thickening radiomics in bowel wall thickening.

Japanese journal of radiology Mar 27, 2024
PURPOSE: To distinguish malignant and benign bowel wall thickening (BWT) by using computed tomography (CT) texture features based on machine learning (ML) models and to compare its success with the clinical model and combined model.
Aged Aged, 80 and over Adult Contrast Media Middle Aged Radiomics Retrospective Studies Diagnosis, Differential Colonoscopy Humans Male Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Machine Learning Female
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Application of deep learning radiomics in oral squamous cell carcinoma-Extracting more information from medical images using advanced feature analysis.

Journal of stomatology, oral and maxillofacial surgery Mar 26, 2024
OBJECTIVE: To conduct a systematic review with meta-analyses to assess the recent scientific literature addressing the application of deep learning radiomics in oral squamous cell carcinoma (OSCC).
Mouth Neoplasms Humans Radiomics Carcinoma, Squamous Cell Deep Learning Sensitivity and Specificity
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Preoperative detection of hepatocellular carcinoma's microvascular invasion on CT-scan by machine learning and radiomics: A preliminary analysis.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Mar 24, 2024
INTRODUCTION: Microvascular invasion (MVI) is the main risk factor for overall mortality and recurrence after surgery for hepatocellular carcinoma (HCC).The aim was to train machine-learning models to predict MVI on preoperative CT scan.
Microvessels Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Middle Aged Humans Liver Neoplasms Neural Networks, Computer Carcinoma, Hepatocellular Aged Neoplasm Invasiveness Radiomics Male
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