AIMC Journal:
Medical image analysis

Showing 581 to 590 of 699 articles

Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.

Medical image analysis Jan 12, 2019
Disease progression modeling (DPM) using longitudinal data is a challenging machine learning task. Existing DPM algorithms neglect temporal dependencies among measurements, make parametric assumptions about biomarker trajectories, do not model multip...
Magnetic Resonance Imaging Alzheimer Disease Biomarkers Female Male Disease Progression Aged Humans Neural Networks, Computer Algorithms
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Humans Neural Networks, Computer Algorithms Lung Diseases Datasets as Topic Radiography, Thoracic Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.

Medical image analysis Dec 20, 2018
The analysis of glandular morphology within colon histopathology images is an important step in determining the grade of colon cancer. Despite the importance of this task, manual segmentation is laborious, time-consuming and can suffer from subjectiv...
Software Colorectal Neoplasms Image Processing, Computer-Assisted Adenocarcinoma Deep Learning Humans Automation Histological Techniques
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Automated diagnosis of breast ultrasonography images using deep neural networks.

Medical image analysis Dec 20, 2018
Ultrasonography images of breast mass aid in the detection and diagnosis of breast cancer. Manually analyzing ultrasonography images is time-consuming, exhausting and subjective. Automated analyzing such images is desired. In this study, we develop a...
Breast Neoplasms Ultrasonography, Mammary Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Female
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Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network.

Medical image analysis Dec 19, 2018
Synthesized medical images have several important applications. For instance, they can be used as an intermedium in cross-modality image registration or used as augmented training samples to boost the generalization capability of a classifier. In thi...
Magnetic Resonance Imaging Mammography Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Imaging, Three-Dimensional Humans Neural Networks, Computer
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Micro-Net: A unified model for segmentation of various objects in microscopy images.

Medical image analysis Dec 15, 2018
Object segmentation and structure localization are important steps in automated image analysis pipelines for microscopy images. We present a convolution neural network (CNN) based deep learning architecture for segmentation of objects in microscopy i...
Microscopy, Fluorescence Histological Techniques Humans Neural Networks, Computer Animals Image Processing, Computer-Assisted Algorithms
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A deep learning framework for unsupervised affine and deformable image registration.

Medical image analysis Dec 8, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can b...
Humans Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Unsupervised Machine Learning Heart Diseases Deep Learning Imaging, Three-Dimensional Radiography, Thoracic Magnetic Resonance Imaging, Cine
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Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative.

Medical image analysis Nov 17, 2018
We present a method for the automated segmentation of knee bones and cartilage from magnetic resonance imaging (MRI) that combines a priori knowledge of anatomical shape with Convolutional Neural Networks (CNNs). The proposed approach incorporates 3D...
Tibia Imaging, Three-Dimensional Femur Magnetic Resonance Imaging Cartilage, Articular Osteoarthritis, Knee Humans Image Interpretation, Computer-Assisted Neural Networks, Computer
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Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis.

Medical image analysis Nov 16, 2018
Knowledge about the thickness of the cortical bone is of high interest for fracture risk assessment. Most finite element model solutions overlook this information because of the coarse resolution of the CT images. To circumvent this limitation, a thr...
Female Aged Male Algorithms Finite Element Analysis Supervised Machine Learning Humans Tomography, X-Ray Computed Femur
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CATARACTS: Challenge on automatic tool annotation for cataRACT surgery.

Medical image analysis Nov 16, 2018
Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The...
Video Recording Surgical Instruments Deep Learning Cataract Extraction Humans Algorithms
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