Works in BMC Medical Imaging, 2024, Vol 24, Issue 1
Results: 346
Interpretable machine learning model for predicting clinically significant prostate cancer: integrating intratumoral and peritumoral radiomics with clinical and metabolic features.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01548-2
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- Article
Using apparent diffusion coefficient maps and radiomics to predict pathological grade in upper urinary tract urothelial carcinoma.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01540-w
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Analysis of MRI imaging characteristics in 10 cases of adult granulosa cell tumor with normal estrogen levels.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01529-5
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Prognostic value of coronary artery calcium scoring in patients with non-small cell lung cancer using initial staging computed tomography.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01544-6
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- Article
Microcardia and cardiomegaly screening using postero-anterior chest X-ray (PA CXR) across university students in Ghana – a retrospective study.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01532-w
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The diagnostic value of two-dimensional ultrasound Su-RADS combined with shear wave elastography for benign and malignant lesions of the gastric wall.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01530-y
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Identification of SMAD4-mutated pancreatic ductal adenocarcinoma using preoperative contrast-enhanced MRI and clinical characteristics.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01539-3
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Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01537-5
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Enhancing classification of active and non-active lesions in multiple sclerosis: machine learning models and feature selection techniques.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01528-6
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Clinico-pathological factors and [<sup>18</sup>F]FDG PET/CT metabolic parameters for prediction of progression-free survival in radioiodine refractory differentiated thyroid carcinoma.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01525-9
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DKI and <sup>1</sup>H-MRS in angiogenesis evaluation of soft tissue sarcomas: a prospective clinical study based on MRI-pathology control method.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01526-8
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- Article
Preoperative CT-based morphological heterogeneity for predicting survival in patients with colorectal cancer liver metastases after surgical resection: a retrospective study.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01524-w
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Deep superpixel generation and clustering for weakly supervised segmentation of brain tumors in MR images.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01523-x
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An ultrasound image segmentation method for thyroid nodules based on dual-path attention mechanism-enhanced UNet++.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01521-z
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MHAGuideNet: a 3D pre-trained guidance model for Alzheimer's Disease diagnosis using 2D multi-planar sMRI images.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01520-0
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Enhanced Cross-stage-attention U-Net for esophageal target volume segmentation.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01515-x
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Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer's disease.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01513-z
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- Article
Segmentation for mammography classification utilizing deep convolutional neural network.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01510-2
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Desmoplastic Small Round Cell Tumor: a study of CT, MRI, PET/CT multimodal imaging features and their correlations with pathology.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01500-4
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Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01453-8
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Improve myocardial strain estimation based on deformable groupwise registration with a locally low-rank dissimilarity metric.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01519-7
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The combination of focal breast edema and adjacent vessel sign to assess the behavior of mass-type invasive ductal carcinoma.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01518-8
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Cone-beam computed tomographic evaluation of styloid process: a retrospective study of 498 patients with maxillofacial diseases.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01516-w
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Magnetic resonance cholangiopancreatography at 5.0 T: quantitative and qualitative comparison with 3.0 T.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01512-0
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Myocardial strain analysis by cardiac magnetic resonance associated with arrhythmias in repaired tetralogy of Fallot patients.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01514-y
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CT-based delta-radiomics for predicting pathological response to neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma: a multicenter study.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01503-1
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Correlation of sonographic features with prognostic factors in ductal carcinoma in situ of the breast: an exploratory study using ultrasound and shear wave elastography.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01494-z
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Quantitative evaluation of pancreatic neuroendocrine tumors utilizing dual-source CT perfusion imaging.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01511-1
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Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01502-2
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Using ultrafast angio planewave ultrasensitive and conventional doppler imaging techniques to assess intramuscular blood perfusion in older adults.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01495-y
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Contrast-enhanced ultrasonography guidance avoids US-CT/MR fusion error for percutaneous radiofrequency ablation of hepatocellular carcinoma.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01508-w
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Prediction of acute pancreatitis severity based on early CT radiomics.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01509-9
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MRI-based radiomic and machine learning for prediction of lymphovascular invasion status in breast cancer.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01501-3
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3D morphometric analysis of the epiglottis using CBCT: age and gender differences.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01506-y
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Virtual histopathology methods in medical imaging - a systematic review.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01498-9
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- Article
Deep learning model for the automated detection and classification of central canal and neural foraminal stenosis upon cervical spine magnetic resonance imaging.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01489-w
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Establishment of an MRI-based radiomics model for distinguishing between intramedullary spinal cord tumor and tumefactive demyelinating lesion.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01499-8
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In vitro detection of cancer cells using a novel fluorescent choline derivative.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01488-x
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The predictive value of nomogram for adnexal cystic-solid masses based on O-RADS US, clinical and laboratory indicators.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01497-w
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- Article
The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01486-z
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- Article
Prediction of esophageal fistula in radiotherapy/chemoradiotherapy for patients with advanced esophageal cancer by a clinical-deep learning radiomics model: Prediction of esophageal fistula in radiotherapy/chemoradiotherapy patients.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01473-4
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Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01469-0
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Diagnostic performance of adult-based thyroid imaging reporting and data systems in pediatric thyroid carcinoma: a retrospective study.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01496-x
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Systemic immune-related spleen radiomics predict progression-free survival in patients with locally advanced cervical cancer underwent definitive chemoradiotherapy.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01492-1
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Comparison of different acceleration factors of artificial intelligence-compressed sensing for brachial plexus MRI imaging: scanning time and image quality.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01493-0
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T1 mapping-based radiomics in the identification of histological types of lung cancer: a reproducibility and feasibility study.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01487-y
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Computed tomography radiomics reveals prognostic value of immunophenotyping in laryngeal squamous cell carcinoma: a comparison of whole tumor- versus habitats-based approaches.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01491-2
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Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01484-1
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Computed tomography enterography radiomics and machine learning for identification of Crohn's disease.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01480-5
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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review.
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- BMC Medical Imaging, 2024, v. 24, n. 1, p. 1, doi. 10.1186/s12880-024-01443-w
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