… automated detection and segmentation methods used for the larynx on Computed Tomography
images… for more research as standardization and auto segmentation can lead to more …

… Delineating organs at risk (OARs) on computed tomography (CT) images is an essential
step … Herein, we report a deep learning-based automatic segmentation (AS) algorithm (WBNet) …

… the quantitatively evaluated, computed, and automated segmentation methods of the lung
and its lobes, and the findings, using computed tomography images”. Secondly, it is necessary …

… their proposed technique for the automatic segmentation of four organs (esophagus, …
automatic segmentation techniques for the Organs-at-risk in thoracic computed tomography images …

… In this study, we demonstrate that this fully automated segmentation tool was able to
produce fast and accurate segmentation of the neck and trunk of the body over a wide range of …

… steps to the automatic segmentation pipeline: (1) a harmonization routine for the
preprocessing of CT scans in order to more comprehensively unify patterns on the images for the …

… of the use of medical images, importance of automatic segmentation of medical images.
Various deep learning based automatic segmentation techniques proposed by different authors …

Optical coherence tomography (OCT) is a primary imaging technique for ophthalmic … region
segmentation in the OCT image is a challenging task. Machine learning-based segmentation …

… image segmentation method to automatically delineate ROIs of head-and-neck helical computed
tomography images… validated an automatic atlas-based image segmentation method to …

… computed tomography image; (b) deformed contours on daily computed tomography image
… ) smoothed contours on daily computed tomography image modified to correct for holes and …