Lung field segmentation using weighted sparse shape composition with robust initialization
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DOI: 10.1002/mp.12561
Abstract: Purpose: Lung field segmentation for chest radiography is critical to pulmonary disease diagnosis. In this paper, we propose a new deformable model using weighted sparse shape composition with robust initialization to achieve robust and accurate… read more here.
Keywords: shape; field segmentation; model; lung field ... See more keywords
4D Light Field Segmentation From Light Field Super-Pixel Hypergraph Representation
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DOI: 10.1109/tvcg.2020.2982158
Abstract: Efficient and accurate segmentation of full 4D light fields is an important task in computer vision and computer graphics. The massive volume and the redundancy of light fields make it an open challenge. In this… read more here.
Keywords: representation; field; light field; field segmentation ... See more keywords
A potential field segmentation based method for tumor segmentation on multi-parametric MRI of glioma cancer patients
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DOI: 10.1186/s12880-019-0348-y
Abstract: BackgroundAccurate segmentation of brain tumors is vital for the gross tumor volume (GTV) definition in radiotherapy. Functional MR images like apparent diffusion constant (ADC) and fractional anisotropy (FA) images can provide more comprehensive information for… read more here.
Keywords: pfs; potential field; segmentation; field segmentation ... See more keywords
Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks
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DOI: 10.3390/bioengineering9080351
Abstract: Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time. Then, the low-resolution result… read more here.
Keywords: segmentation; superpixel resizing; lung field; image ... See more keywords