AIMC Topic: Deep Learning

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Automatic Placenta Localization From Ultrasound Imaging in a Resource-Limited Setting Using a Predefined Ultrasound Acquisition Protocol and Deep Learning.

Ultrasound in medicine & biology Jan 19, 2022
Placenta localization from obstetric 2-D ultrasound (US) imaging is unattainable for many pregnant women in low-income countries because of a severe shortage of trained sonographers. To address this problem, we present a method to automatically detec...
Ultrasonography Image Processing, Computer-Assisted Placenta Previa Placenta Female Ultrasonography, Prenatal Deep Learning Humans Pregnancy
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Deep learning-based convolutional neural network for intramodality brain MRI synthesis.

Journal of applied clinical medical physics Jan 19, 2022
PURPOSE: The existence of multicontrast magnetic resonance (MR) images increases the level of clinical information available for the diagnosis and treatment of brain cancer patients. However, acquiring the complete set of multicontrast MR images is n...
Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Humans Brain Brain Neoplasms Neural Networks, Computer
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LeuFeatx: Deep learning-based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear.

Computers in biology and medicine Jan 19, 2022
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia. The clinical assessment methods for the diagnosis of the disease are labor-intensive and time-consuming. Image-based automated diagnostic systems can be of great help...
Deep Learning Leukocytes Blood Cells Humans Leukemia, Myeloid, Acute
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Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel, and slice thickness.

Medical physics Jan 19, 2022
PURPOSE: Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While having the potential to improve the image quality (IQ) over the filtered back projection method (FBP) and produce images quickly, performance generaliza...
Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed Neural Networks, Computer Deep Learning
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A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features.

Clinical epigenetics Jan 19, 2022
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF), affected collectively by genetic and environmental factors, is the common subtype of chronic heart failure. Although the available risk assessment methods for HFpEF have achieved som...
Humans Aged DNA Methylation Middle Aged Male Deep Learning Heart Failure Prognosis Risk Assessment Stroke Volume Female
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Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features.

BMC medical imaging Jan 19, 2022
BACKGROUND: Automated segmentation of coronary arteries is a crucial step for computer-aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation of the coronary artery is challenging in X-ray coronary angiography (XCA)...
Coronary Disease Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Humans Deep Learning
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Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation.

Physics in medicine and biology Jan 19, 2022
Stereotactic radiosurgery (SRS) is now the standard of care for brain metastases (BMs) patients. The SRS treatment planning process requires precise target delineation, which in clinical workflow for patients with multiple (>4) BMs (mBMs) could becom...
Humans Support Vector Machine Magnetic Resonance Imaging Radiosurgery Brain Neoplasms Deep Learning
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Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer.

Computational and mathematical methods in medicine Jan 19, 2022
This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients with lung cancer. 90 patients who were diagnosed with lung cancer by surgery or puncture in hospital were selected as the research subjects. The Mask ...
Lung Neoplasms Computational Biology Radiographic Image Interpretation, Computer-Assisted Case-Control Studies Deep Learning Aged Algorithms Adult Humans Tomography, X-Ray Computed Male Neural Networks, Computer Female Biomarkers, Tumor Middle Aged
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Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging.

International forum of allergy & rhinology Jan 18, 2022
BACKGROUND: Distinguishing benign inverted papilloma (IP) tumors from those that have undergone malignant transformation to squamous cell carcinoma (IP-SCC) is important but challenging to do preoperatively. Magnetic resonance imaging (MRI) can help ...
Humans Deep Learning Magnetic Resonance Imaging Papilloma, Inverted Neural Networks, Computer Retrospective Studies
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Classification of rotator cuff tears in ultrasound images using deep learning models.

Medical & biological engineering & computing Jan 18, 2022
Rotator cuff tears (RCTs) are one of the most common shoulder injuries, which are typically diagnosed using relatively expensive and time-consuming diagnostic imaging tests such as magnetic resonance imaging or computed tomography. Deep learning algo...
Humans Neural Networks, Computer Magnetic Resonance Imaging Rotator Cuff Injuries Deep Learning Ultrasonography
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