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dataset_test_brain tumor
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2026-01-19
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SLIM Brain Database: A Multimodal Image Database of In-vivo Human Brains for Tumor Detection.
3. PROJECT DESCRIPTION Hyperspectral imaging and machine learning have been employed in the medical field for classifying highly infiltrative brain tumors. Although existing HSI databases of in-vivo h
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ICC and variation coefficients (VC) for between and within observers manual measurements of muscle and fat fractions.
ICC and variation coefficients (VC) for between and within observers manual measurements of muscle and fat fractions.
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Datasets of "Influence of contrast and texture based image modifications on the performance and attention shift of U-Net models for brain tissue segmentation" Part 11 of 14
This dataset is part of the work https://www.frontiersin.org/articles/10.3389/fnimg.2022.1012639/full. This is the eleventh part of 14 parts of the full dataset (11/14). It contains 3 sets of simulate
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Patient 11 MRI
CTs and MRIs were both acquired under radiotherapy immobilization protocols with patients in the treatment position. CT scans were acquired on one of four machine models (LightSpeed RT16, GE Medical S
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metadata.csv
The file includes 318 image-localized biopsy samples from 74 GBM patients.X, Y, Z: location in the brain.ENH.1.BAT.0: It is identified in the enhancing area or not.T1.window.in.T2..1..or.not..0.: if t
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