AIMC Journal:
Medical image analysis

Showing 411 to 420 of 684 articles

Automated size-specific dose estimates using deep learning image processing.

Medical image analysis Nov 12, 2020
An automated vendor-independent system for dose monitoring in computed tomography (CT) medical examinations involving ionizing radiation is presented in this paper. The system provides precise size-specific dose estimates (SSDE) following the America...
Tomography, X-Ray Computed Radiation Dosage Image Processing, Computer-Assisted Deep Learning Humans Retrospective Studies
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Deeply-supervised density regression for automatic cell counting in microscopy images.

Medical image analysis Nov 11, 2020
Accurately counting the number of cells in microscopy images is required in many medical diagnosis and biological studies. This task is tedious, time-consuming, and prone to subjective errors. However, designing automatic counting methods remains cha...
Neural Networks, Computer Image Processing, Computer-Assisted Microscopy
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Capsules for biomedical image segmentation.

Medical image analysis Nov 5, 2020
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing, which reduces the param...
Humans Magnetic Resonance Imaging Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Capsules
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Roto-translation equivariant convolutional networks: Application to histopathology image analysis.

Medical image analysis Oct 31, 2020
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework to encode the geometric structure of the special Euclidean motion group...
Humans Machine Learning Neural Networks, Computer Image Processing, Computer-Assisted
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A deep learning framework for pancreas segmentation with multi-atlas registration and 3D level-set.

Medical image analysis Oct 28, 2020
In this paper, we propose and validate a deep learning framework that incorporates both multi-atlas registration and level-set for segmenting pancreas from CT volume images. The proposed segmentation pipeline consists of three stages, namely coarse, ...
Image Processing, Computer-Assisted Tomography, X-Ray Computed Neural Networks, Computer Deep Learning Pancreas
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Super-Resolved q-Space deep learning with uncertainty quantification.

Medical image analysis Oct 26, 2020
Diffusion magnetic resonance imaging (dMRI) provides a noninvasive method for measuring brain tissue microstructure. q-Space deep learning(q-DL) methods have been developed to accurately estimate tissue microstructure from dMRI scans acquired with a ...
Deep Learning Humans Neuroimaging Diffusion Magnetic Resonance Imaging Uncertainty Algorithms
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Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy.

Medical image analysis Oct 26, 2020
As the main treatment for cancer patients, radiotherapy has achieved enormous advancement over recent decades. However, these achievements have come at the cost of increased treatment plan complexity, necessitating high levels of expertise experience...
Radiotherapy Planning, Computer-Assisted Algorithms Radiotherapy Dosage Humans Neural Networks, Computer
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CS-Net: Deep learning segmentation of curvilinear structures in medical imaging.

Medical image analysis Oct 21, 2020
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation associated to the management of many diseases. Precise measurement of the...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Algorithms Humans Deep Learning Neural Networks, Computer
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Unifying neural learning and symbolic reasoning for spinal medical report generation.

Medical image analysis Oct 21, 2020
Automated medical report generation in spine radiology, i.e., given spinal medical images and directly create radiologist-level diagnosis reports to support clinical decision making, is a novel yet fundamental study in the domain of artificial intell...
Artificial Intelligence Algorithms Neural Networks, Computer Spine Diagnosis, Computer-Assisted Humans
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Accurate brain age prediction with lightweight deep neural networks.

Medical image analysis Oct 19, 2020
Deep learning has huge potential for accurate disease prediction with neuroimaging data, but the prediction performance is often limited by training-dataset size and computing memory requirements. To address this, we propose a deep convolutional neur...
Humans Neural Networks, Computer Neuroimaging Yttrium Radioisotopes Brain
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