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Are there confusion matrix in matlab r2015a
Are there confusion matrix in matlab r2015a







are there confusion matrix in matlab r2015a are there confusion matrix in matlab r2015a

Therefore, brain tumor segmentation is challenging, not only due to the technology limits but also because of the large variations of shape and intensity of brain tumor uptake relating to the large heterogeneity in histology, genetics, and outcome. Even if PET remains the modality of choice for its high sensitivity, it has several limitations including low spatial resolution with partial volume effect and relatively low signal-to-noise ratio. These tracers are increasingly used in the diagnostic workup of patients with gliomas, including differential diagnosis, evaluation of tumor extension, treatment planning and follow-up. As 18F-Fluorodeoxyglucose shows high background uptake in normal brain, radiolabeled amino acids such as 11C-methionine, 18F-fluoro-L-dopamine and 18F-fluoro-ethyl-tyrosine ( 18F-FET) are more appropriate as they exhibit lower background uptake and can therefore depict brain tumors with a higher contrast. Gliomas constitute the most frequent brain tumors. Positron emission tomography (PET) is one of the most advanced medical imaging technologies at the molecular level for human functional imaging. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are within the paper and its Supporting Information files.įunding: The PET data acquisition was supported by a grant from the Lionel Perrier Foundation (Montreux, Switzerland). Received: JanuAccepted: MaPublished: April 13, 2018Ĭopyright: © 2018 Blanc-Durand et al. Sherman, George Washington University, UNITED STATES Citation: Blanc-Durand P, Van Der Gucht A, Schaefer N, Itti E, Prior JO (2018) Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study.









Are there confusion matrix in matlab r2015a