AIMC Journal:
Computer methods and programs in biomedicine

Showing 511 to 520 of 847 articles

Fully-automated functional region annotation of liver via a 2.5D class-aware deep neural network with spatial adaptation.

Computer methods and programs in biomedicine Nov 4, 2020
BACKGROUND AND OBJECTIVE: Automatic functional region annotation of liver should be very useful for preoperative planning of liver resection in the clinical domain. However, many traditional computer-aided annotation methods based on anatomical landm...
Image Processing, Computer-Assisted Liver Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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Automatic stenosis recognition from coronary angiography using convolutional neural networks.

Computer methods and programs in biomedicine Nov 2, 2020
BACKGROUND AND OBJECTIVE: Coronary artery disease, which is mostly caused by atherosclerotic narrowing of the coronary artery lumen, is a leading cause of death. Coronary angiography is the standard method to estimate the severity of coronary artery ...
Humans Neural Networks, Computer Coronary Vessels Coronary Stenosis Coronary Angiography Constriction, Pathologic
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A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.

Computer methods and programs in biomedicine Oct 31, 2020
BACKGROUND: Brain tumors are life-threatening, and their early detection is crucial for improving survival rates. Conventionally, brain tumors are detected by radiologists based on their clinical experience. However, this process is inefficient. This...
Brain Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Support Vector Machine Algorithms Humans Magnetic Resonance Imaging
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A deep learning approach for sepsis monitoring via severity score estimation.

Computer methods and programs in biomedicine Oct 28, 2020
BACKGROUND AND OBJECTIVE: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires medically trained personne...
Sepsis ROC Curve Organ Dysfunction Scores Intensive Care Units Deep Learning Retrospective Studies Humans Prognosis
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Simulator-generated training datasets as an alternative to using patient data for machine learning: An example in myocardial segmentation with MRI.

Computer methods and programs in biomedicine Oct 27, 2020
BACKGROUND AND OBJECTIVE: Supervised Machine Learning techniques have shown significant potential in medical image analysis. However, the training data that need to be collected for these techniques in the field of MRI 1) may not be available, 2) may...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Myocardium Heart Ventricles Neural Networks, Computer Humans Machine Learning
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Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech.

Computer methods and programs in biomedicine Oct 26, 2020
BACKGROUND AND OBJECTIVE: Magnetic resonance (MR) imaging is increasingly used in studies of speech as it enables non-invasive visualisation of the vocal tract and articulators, thus providing information about their shape, size, motion and position....
Adult Deep Learning Humans Speech Magnetic Resonance Imaging Image Processing, Computer-Assisted Dental Articulators
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Style transfer strategy for developing a generalizable deep learning application in digital pathology.

Computer methods and programs in biomedicine Oct 25, 2020
BACKGROUND AND OBJECTIVES: Despite recent advances in artificial intelligence for medical images, the development of a robust deep learning model for identifying malignancy on pathology slides has been limited by problems related to substantial inter...
ROC Curve Area Under Curve Artificial Intelligence Deep Learning Humans Neural Networks, Computer
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DeepHistReg: Unsupervised Deep Learning Registration Framework for Differently Stained Histology Samples.

Computer methods and programs in biomedicine Oct 24, 2020
BACKGROUND AND OBJECTIVE: The use of several stains during histology sample preparation can be useful for fusing complementary information about different tissue structures. It reveals distinct tissue properties that combined may be useful for gradin...
Algorithms Deep Learning Software Histological Techniques Humans
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pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

Computer methods and programs in biomedicine Oct 19, 2020
BACKGROUND AND OBJECTIVE: Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. However, these frameworks rarely address issues specific to the ...
Deep Learning
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CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation.

Computer methods and programs in biomedicine Oct 15, 2020
BACKGROUND AND OBJECTIVE: An accurate segmentation of lung nodules in computed tomography images is a crucial step for the physical characterization of the tumour. Being often completely manually accomplished, nodule segmentation turns to be a tediou...
Humans Neural Networks, Computer Lung Databases, Factual Algorithms Tomography, X-Ray Computed
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