AIMC Topic: Thorax

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Medical image segmentation via atlases and fuzzy object models: Improving efficacy through optimum object search and fewer models.

Medical physics Jan 1, 2016
PURPOSE: Statistical object shape models (SOSMs), known as probabilistic atlases, are popular in medical image segmentation. They register an image into the atlas coordinate system, such that a desired object can be delineated from the constraints of...
Humans Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Cerebellum Radiography, Thoracic Thorax
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A comparative study for chest radiograph image retrieval using binary texture and deep learning classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2015
In this work various approaches are investigated for X-ray image retrieval and specifically chest pathology retrieval. Given a query image taken from a data set of 443 images, the objective is to rank images according to similarity. Different feature...
Machine Learning Thorax
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Automatic learning-based beam angle selection for thoracic IMRT.

Medical physics Apr 1, 2015
PURPOSE: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Int...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Lung Neoplasms Regression Analysis Radiotherapy Planning, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Radiotherapy Dosage Radiotherapy, Intensity-Modulated Thorax
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