{"id":"https://openalex.org/W2308231717","doi":"https://doi.org/10.1117/12.2214416","title":"Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection","display_name":"Breast segmentation in MRI using Poisson surface reconstruction initialized with random forest edge detection","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2308231717","doi":"https://doi.org/10.1117/12.2214416","mag":"2308231717"},"language":"en","primary_location":{"id":"doi:10.1117/12.2214416","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2214416","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5029260213","display_name":"Anne L. Martel","orcid":"https://orcid.org/0000-0003-1375-5501"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Anne L. Martel","raw_affiliation_strings":["Univ. of Toronto (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Toronto (Canada)","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014227129","display_name":"Cristina Gallego-Ortiz","orcid":"https://orcid.org/0000-0002-9978-5180"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Cristina Gallego-Ortiz","raw_affiliation_strings":["Univ. of Toronto (Canada)"],"affiliations":[{"raw_affiliation_string":"Univ. of Toronto (Canada)","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085467745","display_name":"Yingli Lu","orcid":"https://orcid.org/0000-0002-5117-1614"},"institutions":[{"id":"https://openalex.org/I4391768120","display_name":"Sunnybrook Research Institute","ror":"https://ror.org/05n0tzs53","country_code":null,"type":"facility","lineage":["https://openalex.org/I1323843004","https://openalex.org/I185261750","https://openalex.org/I4391768120"]},{"id":"https://openalex.org/I4210167439","display_name":"Sunnybrook Hospital","ror":"https://ror.org/008kn1a71","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1323843004","https://openalex.org/I4210167439"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"YingLi Lu","raw_affiliation_strings":["Sunnybrook Research Institute (Canada)"],"affiliations":[{"raw_affiliation_string":"Sunnybrook Research Institute (Canada)","institution_ids":["https://openalex.org/I4210167439","https://openalex.org/I4391768120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029260213"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77203006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"9784","issue":null,"first_page":"97841B","last_page":"97841B"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6103695631027222},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.586480975151062},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.577272891998291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5276246070861816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49019676446914673},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.467995822429657},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.4570574462413788},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4552839994430542},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4390348494052887},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4383009970188141},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.420342355966568},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.41986677050590515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36543548107147217},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29196619987487793},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19703719019889832},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16635534167289734},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1348535120487213},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11522078514099121}],"concepts":[{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6103695631027222},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.586480975151062},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.577272891998291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5276246070861816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49019676446914673},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.467995822429657},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.4570574462413788},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4552839994430542},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4390348494052887},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4383009970188141},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.420342355966568},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.41986677050590515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36543548107147217},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29196619987487793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19703719019889832},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16635534167289734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1348535120487213},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11522078514099121}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2214416","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2214416","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313290","display_name":"Ontario Institute for Cancer Research","ror":"https://ror.org/043q8yx54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1979404996","https://openalex.org/W2008073424","https://openalex.org/W2021600903","https://openalex.org/W2024042210","https://openalex.org/W2047368428","https://openalex.org/W2057016865","https://openalex.org/W2064018979","https://openalex.org/W2086302078","https://openalex.org/W2127890285","https://openalex.org/W2129534965","https://openalex.org/W6652231383","https://openalex.org/W6656673130","https://openalex.org/W6666609746","https://openalex.org/W6672008384","https://openalex.org/W6679367408"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4386937079","https://openalex.org/W2901774584"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,65,82],"breast":[2],"tissue":[3],"in":[4,30,75,94],"MRI":[5],"images":[6,74,84],"is":[7],"an":[8],"important":[9],"pre-processing":[10],"step":[11,39],"for":[12,69],"many":[13],"applications.":[14],"We":[15],"present":[16],"a":[17,22,36,42,52,61,79,87,118],"new":[18],"method":[19],"that":[20],"uses":[21],"random":[23,97],"forest":[24],"classifier":[25],"to":[26,40],"identify":[27],"candidate":[28],"edges":[29],"the":[31,47,96,99],"image":[32],"and":[33],"then":[34],"applies":[35],"Poisson":[37],"reconstruction":[38],"define":[41],"3D":[43],"surface":[44],"based":[45],"on":[46],"detected":[48],"edge":[49],"points.":[50],"Using":[51,107],"leave":[53],"one":[54],"patient":[55],"out":[56],"cross":[57],"validation":[58],"we":[59,110],"achieve":[60],"Dice":[62,101],"overlap":[63],"score":[64,102],"0.96":[66],"&plusmn;":[67,105],"0.02":[68],"T1":[70],"weighted":[71],"non-fat":[72],"suppressed":[73],"8":[76],"patients.":[77],"In":[78],"second":[80],"dataset":[81],"332":[83],"acquired":[85],"using":[86,117],"Dixon":[88],"sequence,":[89],"which":[90],"was":[91,103],"not":[92],"used":[93],"training":[95,121],"classifier,":[98],"mean":[100],"0.90":[104],"0.03.":[106],"this":[108],"approach":[109],"have":[111],"achieved":[112],"accurate,":[113],"robust":[114],"segmentation":[115],"results":[116],"very":[119],"small":[120],"set.":[122]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
