AIMC Journal:
Medical image analysis

Showing 601 to 610 of 699 articles

Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data.

Medical image analysis Aug 3, 2018
This paper aims to address the segmentation and classification of lytic and sclerotic metastatic lesions that are difficult to define by using spinal 3D Computed Tomography (CT) images obtained from highly pathologically affected cases. As the lesion...
Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Imaging, Three-Dimensional Radiographic Image Interpretation, Computer-Assisted Spinal Neoplasms Aged, 80 and over Male Middle Aged
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Neural multi-atlas label fusion: Application to cardiac MR images.

Medical image analysis Jul 31, 2018
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of methods, i.e., atlas selection and label fusion. In this paper, we propose a...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Anatomic Landmarks Heart Ventricles Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging
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Segmentation of glandular epithelium in colorectal tumours to automatically compartmentalise IHC biomarker quantification: A deep learning approach.

Medical image analysis Jul 12, 2018
In this paper, we propose a method for automatically annotating slide images from colorectal tissue samples. Our objective is to segment glandular epithelium in histological images from tissue slides submitted to different staining techniques, includ...
Immunohistochemistry Image Interpretation, Computer-Assisted Automation Humans Colorectal Neoplasms Biomarkers, Tumor Deep Learning Staining and Labeling Color
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Synthesizing retinal and neuronal images with generative adversarial nets.

Medical image analysis Jul 4, 2018
This paper aims at synthesizing multiple realistic-looking retinal (or neuronal) images from an unseen tubular structured annotation that contains the binary vessel (or neuronal) morphology. The generated phantoms are expected to preserve the same tu...
Humans Neural Networks, Computer Phantoms, Imaging Retinal Vessels Retinal Neurons Algorithms Image Processing, Computer-Assisted Diagnostic Techniques, Ophthalmological
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Weakly-supervised convolutional neural networks for multimodal image registration.

Medical image analysis Jul 4, 2018
One of the fundamental challenges in supervised learning for multimodal image registration is the lack of ground-truth for voxel-level spatial correspondence. This work describes a method to infer voxel-level transformation from higher-level correspo...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Humans Anatomic Landmarks Male Neural Networks, Computer Prostatic Neoplasms Ultrasonography Prostate
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Towards intelligent robust detection of anatomical structures in incomplete volumetric data.

Medical image analysis Jun 23, 2018
Robust and fast detection of anatomical structures represents an important component of medical image analysis technologies. Current solutions for anatomy detection are based on machine learning, and are generally driven by suboptimal and exhaustive ...
Deep Learning Humans Imaging, Three-Dimensional Image Processing, Computer-Assisted Anatomic Landmarks Algorithms Tomography, X-Ray Computed
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3D freehand ultrasound without external tracking using deep learning.

Medical image analysis Jun 15, 2018
This work aims at creating 3D freehand ultrasound reconstructions from 2D probes with image-based tracking, therefore not requiring expensive or cumbersome external tracking hardware. Existing model-based approaches such as speckle decorrelation only...
Image Interpretation, Computer-Assisted Deep Learning Ultrasonography Humans Imaging, Three-Dimensional Algorithms
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Automated sub-cortical brain structure segmentation combining spatial and deep convolutional features.

Medical image analysis Jun 15, 2018
Sub-cortical brain structure segmentation in Magnetic Resonance Images (MRI) has attracted the interest of the research community for a long time as morphological changes in these structures are related to different neurodegenerative disorders. Howev...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Neural Networks, Computer Algorithms Imaging, Three-Dimensional Humans
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Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks.

Medical image analysis Jun 15, 2018
Surgical guidance and decision making could be improved with accurate and real-time measurement of intra-operative data including shape and spectral information of the tissue surface. In this work, a dual-modality endoscopic system has been proposed ...
Humans Neural Networks, Computer Algorithms Spatial Analysis Intraoperative Period Imaging, Three-Dimensional Endoscopes Fiber Optic Technology Image Processing, Computer-Assisted Spectrum Analysis
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Deep learning and conditional random fields-based depth estimation and topographical reconstruction from conventional endoscopy.

Medical image analysis Jun 14, 2018
Colorectal cancer is the fourth leading cause of cancer deaths worldwide and the second leading cause in the United States. The risk of colorectal cancer can be mitigated by the identification and removal of premalignant lesions through optical colon...
Swine Deep Learning Radiographic Image Interpretation, Computer-Assisted Colorectal Neoplasms Algorithms Phantoms, Imaging Animals Tomography, X-Ray Computed Colonoscopy
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