{"id":"https://openalex.org/W2570032108","doi":"https://doi.org/10.1109/ivcnz.2016.7804455","title":"Deep convolutional encoder-decoder for myelin and axon segmentation","display_name":"Deep convolutional encoder-decoder for myelin and axon segmentation","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2570032108","doi":"https://doi.org/10.1109/ivcnz.2016.7804455","mag":"2570032108"},"language":"en","primary_location":{"id":"doi:10.1109/ivcnz.2016.7804455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083942633","display_name":"Rassoul Mesbah","orcid":null},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"Rassoul Mesbah","raw_affiliation_strings":["Department of Computer Science, University of Otago, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045878695","display_name":"Brendan McCane","orcid":"https://orcid.org/0000-0001-8055-3331"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Brendan McCane","raw_affiliation_strings":["Department of Computer Science, University of Otago, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000800532","display_name":"Steven Mills","orcid":"https://orcid.org/0000-0002-4933-7777"},"institutions":[{"id":"https://openalex.org/I80281795","display_name":"University of Otago","ror":"https://ror.org/01jmxt844","country_code":"NZ","type":"education","lineage":["https://openalex.org/I80281795"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Steven Mills","raw_affiliation_strings":["Department of Computer Science, University of Otago, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Otago, New Zealand","institution_ids":["https://openalex.org/I80281795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083942633"],"corresponding_institution_ids":["https://openalex.org/I80281795"],"apc_list":null,"apc_paid":null,"fwci":3.3746,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92831384,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8511353731155396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.747398853302002},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7117618322372437},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.7059451937675476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6266745328903198},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5717446208000183},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5626806020736694},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5058667063713074},{"id":"https://openalex.org/keywords/axon","display_name":"Axon","score":0.48115646839141846},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.45615118741989136},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3909946084022522},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.33396977186203003},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18835696578025818},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.13192573189735413}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8511353731155396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.747398853302002},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7117618322372437},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7059451937675476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6266745328903198},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5717446208000183},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5626806020736694},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5058667063713074},{"id":"https://openalex.org/C2779530196","wikidata":"https://www.wikidata.org/wiki/Q178999","display_name":"Axon","level":2,"score":0.48115646839141846},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.45615118741989136},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3909946084022522},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.33396977186203003},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18835696578025818},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.13192573189735413},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivcnz.2016.7804455","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivcnz.2016.7804455","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W360623563","https://openalex.org/W1745334888","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1996777517","https://openalex.org/W2027139906","https://openalex.org/W2036194289","https://openalex.org/W2047097851","https://openalex.org/W2076063813","https://openalex.org/W2094963933","https://openalex.org/W2097633527","https://openalex.org/W2104095591","https://openalex.org/W2134092095","https://openalex.org/W2140427427","https://openalex.org/W2153810084","https://openalex.org/W2166566780","https://openalex.org/W2167776784","https://openalex.org/W2226808373","https://openalex.org/W2345101898","https://openalex.org/W2441649867","https://openalex.org/W2518538812","https://openalex.org/W2963881378","https://openalex.org/W4291497790","https://openalex.org/W4298084439","https://openalex.org/W4308909683","https://openalex.org/W6612134913","https://openalex.org/W6639780620","https://openalex.org/W6640054144","https://openalex.org/W6640295612","https://openalex.org/W6684727795","https://openalex.org/W7070889683"],"related_works":["https://openalex.org/W2610189143","https://openalex.org/W2159424856","https://openalex.org/W2122884624","https://openalex.org/W3203142394","https://openalex.org/W4390516098","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2127637679","https://openalex.org/W2132373020","https://openalex.org/W2096049278"],"abstract_inverted_index":{"We":[0,29],"propose":[1],"a":[2,31,48],"fully":[3],"automatic":[4],"method":[5,46,57],"for":[6],"segmenting":[7],"myelin":[8],"and":[9,25,36,67],"axon":[10],"from":[11],"microscopy":[12],"images":[13],"of":[14,51],"excised":[15],"mouse":[16],"spinal":[17],"cord":[18],"based":[19],"on":[20],"Convolutional":[21,27],"Neural":[22],"Networks":[23],"(CNNs)":[24],"Deep":[26],"Encoder-Decoder.":[28],"compare":[30],"two-class":[32],"CNN,":[33,35],"multi-class":[34,37],"deep":[38],"convolutional":[39],"encoder-decoder":[40,61],"with":[41,65],"traditional":[42],"methods.":[43,74],"The":[44,60],"CNN":[45,73],"gives":[47,58],"pixel-wise":[49],"accuracy":[50],"79.7%":[52],"whereas":[53],"an":[54],"Active":[55],"Contour":[56],"59.4%.":[59],"shows":[62],"better":[63],"performance":[64],"82.3%":[66],"noticeably":[68],"shorter":[69],"classification":[70],"time":[71],"than":[72]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}