2018
DOI: 10.1101/334292
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Limited One-time Sampling Irregularity Map (LOTS-IM): Automatic Unsupervised Quantitative Assessment of White Matter Hyperintensities in Structural Brain Magnetic Resonance Images

Abstract: We present the application of limited one-time sampling irregularity map (LOTS-IM): a fully automatic unsupervised approach to extract brain tissue irregularities in magnetic resonance images (MRI), for quantitatively assessing white matter hyperintensities (WMH) of presumed vascular origin, and multiple sclerosis (MS) lesions and their progression. LOTS-IM generates an irregularity map (IM) that represents all voxels as irregularity values with respect to the ones considered "normal". Unlike probability value… Show more

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Cited by 6 publications
(17 citation statements)
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“…2B shows, peak mean performances are 0.4704 (0.1587) for IAM, 0.2888 (0.0990) for IAM-UResNet and 0.4409 (0.1410) for IAM-UNet. The latter performs 15.21% better than the former, which is quite opposite to when TL is not used (see [5]). Our guess is that residual blocks in UResNet perform poorly if it has to learn from real values of IAM.…”
Section: Proposed Brain Lesion's Progression (Growth) Algorithmmentioning
confidence: 78%
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“…2B shows, peak mean performances are 0.4704 (0.1587) for IAM, 0.2888 (0.0990) for IAM-UResNet and 0.4409 (0.1410) for IAM-UNet. The latter performs 15.21% better than the former, which is quite opposite to when TL is not used (see [5]). Our guess is that residual blocks in UResNet perform poorly if it has to learn from real values of IAM.…”
Section: Proposed Brain Lesion's Progression (Growth) Algorithmmentioning
confidence: 78%
“…Whereas, task adaptation TL, where tasks in training and testing processes are different, has not widely explored in medical image analysis. However, the newly proposed unsupervised method of Limited One Time Sampling IAM (LOTS-IAM) [5] has been reported to serve the purpose of white matter hyperintensities (WMH) segmentation performing at the level of DNN architectures trained for this specific purpose while executing a different task i.e., extracting irregular brain tissue texture in the form of irregularity age map (IAM).…”
Section: Current Approaches Of Transfer Learning In Mrimentioning
confidence: 99%
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