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Published in 2019 at "Acta Neurochirurgica"
DOI: 10.1007/s00701-019-04110-0
Abstract: Background Detection of progression is clinically important for the management of glioblastoma. We sought to assess the accuracy of clinical radiological reporting and measured bidimensional products to identify radiological glioblastoma progression. The two were compared…
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Keywords:
volumetric segmentation;
glioblastoma;
clinical radiological;
radiological reports ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2816340
Abstract: Segmentation of the left ventricle in echocardiography data currently poses a challenge, where delineation of the endocardial borders is a time consuming and difficult task. Though semi-automated and fully automated methods have been developed for…
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Keywords:
volumetric segmentation;
distance;
segmentation;
method ... See more keywords
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Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3240238
Abstract: This article introduces a novel shallow 3-D self-supervised tensor neural network in quantum formalism for volumetric segmentation of medical images with merits of obviating training and supervision. The proposed network is referred to as the…
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Keywords:
network;
supervised tensor;
self supervised;
segmentation medical ... See more keywords
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Published in 2021 at "Current Oncology"
DOI: 10.3390/curroncol28060370
Abstract: Adrenocortical carcinoma (ACC) is a rare malignancy with an overall unfavorable prognosis. Clinicians treating patients with ACC have noted accelerated growth in metastatic liver lesions that requires rapid intervention compared to other metastatic locations. This…
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Keywords:
volumetric segmentation;
doubling time;
segmentation;
adrenocortical carcinoma ... See more keywords