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biologic segmentation

Known as: segmentation 
The regionalization process that divides an organism or part of an organism into a series of semi-repetitive parts, or segments, often arranged along… Expand
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
BACKGROUND Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of… Expand
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Review
2019
Review
2019
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LITS) organized in conjunction with the… Expand
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Review
2019
Review
2019
HighlightsA machine learning based method to automatically segment 3D breast ultrasound image.Might help assist clinical diagnose… Expand
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Review
2019
Review
2019
Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light Detection and Ranging (lidar) technology that… Expand
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Review
2019
Review
2019
OBJECTIVE Machine learning has recently gained considerable attention because of promising results for a wide range of radiology… Expand
Review
2019
Review
2019
In recent years, deep convolutional neural networks (CNNs) have shown record-shattering performance in a variety of computer… Expand
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Review
2018
Review
2018
The hippocampus is a complex structure consisting of subregions with specialized cytoarchitecture and functions. Magnetic… Expand
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Review
2018
Review
2018
The complexity of lignin and hemicellulose segmentation has been known since the middle of the ninetieth century. Studies… Expand
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Review
2018
Review
2018
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have efficient segmentation tools to aid in… Expand
Review
2017
Review
2017
In this paper, we focus on how to create data-to-text corpora which can support the learning of wide-coverage micro-planners i.e… Expand
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