Literature DB >> 17281898

Validation techniques for quantitative brain tumors measurements.

Y Salman1, M Assal, A Badawi, S Alian, M -M El-Bayome.   

Abstract

Quantitative measurements of tumor volume becomes more realistic with the use of imaging- particularly specially when the tumor have non-ellipsoidal morphology, which remains subtle, irregular and difficult to assess by visual metric and clinical examination. The quantitative measurements depend strongly on the accuracy of the segmentation technique. The validity of brain tumor segmentation methods is an important issue in medical imaging because it has a direct impact on many applications such as surgical planning and quantitative measurements of tumor volume. Our goal was to examine two popular segmentation techniques seeded region growing and active contour "snakes" to be compared against experts' manual segmentations as the gold standard. We illustrated these methods on brain tumor volume cases using MR imaging modality.

Entities:  

Year:  2005        PMID: 17281898     DOI: 10.1109/IEMBS.2005.1616129

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  1 in total

1.  Automatic Segmentation of MRI of Brain Tumor Using Deep Convolutional Network.

Authors:  Runwei Zhou; Shijun Hu; Baoxiang Ma; Bangcheng Ma
Journal:  Biomed Res Int       Date:  2022-06-15       Impact factor: 3.246

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.