5ab2d31c5aca3503c2f7 · The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm
The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm
In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect
{
"title_en": "The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm",
"designation": "",
"series": "",
"status": "",
"date": "2013-12-24",
"date_original": "December 24, 2013",
"url": "https://www.nist.gov/publications/detection-neuronal-structures-using-patch-based-multi-features-and-support-vector",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Saadia S. Iftikhar , Afzal A. Godil",
"abstract_excerpt_en": "In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect",
"id": "5ab2d31c5aca3503c2f7",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "The Detection of Neuronal Structures using a Patch-based Multi-features and Support Vector Machines Learning Algorithm",
"designation": "",
"series": "",
"status": "",
"date": "2013-12-24",
"date_original": "December 24, 2013",
"url": "https://www.nist.gov/publications/detection-neuronal-structures-using-patch-based-multi-features-and-support-vector",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Saadia S. Iftikhar , Afzal A. Godil",
"abstract_excerpt_en": "In this research, we present an (semi-) automated segmentation algo-rithm using a Support Vector Machine classifier. This algorithm uses a high-dimensional feature space generated from patch-based multiple-features and a training dataset in order to detect"
}
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