Segment brain tumors in MRI scans using a 2D U-Net on the BraTS 2020 dataset for precise multi-class tumor sub-region identification. Distance Map auxiliary loss for brain tumor segmentation (BraTS ...
The Louis Family Laboratory for Targeted Drug Delivery and Personalized Medicine Technologies, Department of Chemical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel The ...
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; ...
Accurate characterization of glioma is essential for effective clinical decision-making. Most current studies involve a limited number of patients and focus solely on single-gene tasks. This research ...
The rise in brain tumor incidence due to the global population aging has intensified the need for precise segmentation methods in clinical settings. Current segmentation networks often fail to capture ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
According to experts in neurology, brain tumours pose a serious risk to human health. The clinical identification and treatment of brain tumours rely heavily on accurate segmentation. The varied sizes ...
As gliomas proliferate, they infiltrate healthy brain tissue. Often, patients with such tumors in the language areas of the brain develop aphasia. Understanding how gliomas interact with normal neural ...
Copyright: © 2020 The Author(s). Published by Elsevier Ltd.
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