Pediatric Sarcoma Segmentation using Deep Learning

Discussion: A deep leaning network was trained to segment sarcomas on pediatric patients. Sarcomas are a very heterogenous class of tumors with large variations in size, shape and metabolism. This showed to be a challenging problem. Nevertheless, the network was able to accurately segment quite complex tumors (See figure, automatic segmentation in red outline) while in other cases it would fail. We attribute this to the limited number of training cases and hypothesize that an increasing number of training samples would improve the network. References: [1] Ronneberger et al, U-Net: Convolutional Networks for Biomedical Image Segmentation in Medical Image Computing and Computer-Assisted Intervention (MICCAI) 9351 (2015).
Source: Journal of Nuclear Medicine - Category: Nuclear Medicine Authors: Tags: Data Sciences Posters Source Type: research

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Source: Biochimica et Biophysica Acta (BBA) Molecular and Cell Biology of Lipids - Category: Lipidology Source Type: research
This study evaluated outcomes associated with treatment strategies for this nonagenarian population.MethodsTreatment and overall survival for patients 90 years and older with NSCLC in the National Cancer Data Base (2004-2014) were evaluated using logistic regression, the Kaplan-Meier method, and multivariable Cox proportional hazard models.ResultsThe majority (n = 4152, 57.6%) of the 7205 patients 90 years or older with stage I-IV NSCLC did not receive any therapy. For the entire cohort, receiving treatment was associated with significantly better survival when compared with no therapy (5-year survival, 9.3% [95% confidenc...
Source: The Annals of Thoracic Surgery - Category: Cardiovascular & Thoracic Surgery Source Type: research
ConclusionsThe delay in surgical resection of StageIIIa NSCLC is not associated increased early mortality, however it is associated with worse 3-year post-resection survival.
Source: The Annals of Thoracic Surgery - Category: Cardiovascular & Thoracic Surgery Source Type: research
Publication date: March 2020Source: Interdisciplinary Neurosurgery, Volume 19Author(s): Joel Kaye, Ahmed Meleis, Shabbar Danish, Zhenggang XiongAbstractMeningiomas are relatively slow-growing, typically benign tumors that arise from the arachnoid cells which form the meninges. They are the most common primary brain tumor and account for nearly one-third of all primary brain and spine tumors. Meningiomas can arise from any dural site, however they are infrequently found at the cerebellopontine angle (CPA). While WHO grade I meningiomas are benign and the slowest growing, WHO grade II meningiomas grow significantly faster, d...
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Source: Sensors and Actuators A: Physical - Category: Physics Source Type: research
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Source: Applied Optics - Category: Physics Authors: Source Type: research
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Source: Biocatalysis and Agricultural Biotechnology - Category: Biotechnology Source Type: research
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