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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
2018
Review
2018
BACKGROUND Blood vessel segmentation is a topic of high interest in medical image analysis since the analysis of vessels is… Expand
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Review
2018
Review
2018
&NA; Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per… Expand
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Review
2018
Review
2018
Over the last two decades (since ca. 2000), Geographic Object-Based Image Analysis (GEOBIA) has emerged as a new paradigm to… Expand
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Review
2018
Review
2018
ABSTRACT In recent years, a variety of segmentation methods have been proposed for automatic delineation of the fetal and… Expand
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Review
2018
Review
2018
Abstract Computerized image analysis methods for dermoscopy are primarily of great interest and benefit, as it provides… Expand
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Review
2017
Review
2017
Multiple-instance learning (MIL) is a recent machine-learning paradigm that is particularly well suited to medical image and… Expand
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Review
2017
Review
2017
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions and relies on accurate segmentation… Expand
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Review
2017
Review
2017
Abstract In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion segmentation challenge providing… Expand
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Review
2017
Review
2017
Abstract. Today 3D models and point clouds are very popular being currently used in several fields, shared through the internet… Expand
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Review
2016
Review
2016
Brain tumor segmentation is an important task in medical image processing. Early diagnosis of brain tumors plays an important… Expand
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