{"id":"https://openalex.org/W2881390653","doi":"https://doi.org/10.1117/12.2318492","title":"Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation","display_name":"Simulation of sequential pathology images for the virtual clinical trials with rad-path correlation","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2881390653","doi":"https://doi.org/10.1117/12.2318492","mag":"2881390653"},"language":"en","primary_location":{"id":"doi:10.1117/12.2318492","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","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/A5054510591","display_name":"Predrag R. Baki\u0107","orcid":"https://orcid.org/0000-0001-7087-0915"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Predrag R. Bakic","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012506930","display_name":"David D. Pokrajac","orcid":"https://orcid.org/0000-0002-8362-1245"},"institutions":[{"id":"https://openalex.org/I126548940","display_name":"Delaware State University","ror":"https://ror.org/03g35dg18","country_code":"US","type":"education","lineage":["https://openalex.org/I126548940"]},{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Pokrajac","raw_affiliation_strings":["Delaware State Univ. (United States)","Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Delaware State Univ. (United States)","institution_ids":["https://openalex.org/I126548940"]},{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028140714","display_name":"Michael D. Feldman","orcid":"https://orcid.org/0000-0002-6661-4940"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Feldman","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048224254","display_name":"Andrew D. A. Maidment","orcid":"https://orcid.org/0000-0003-1074-7063"},"institutions":[{"id":"https://openalex.org/I36788626","display_name":"California University of Pennsylvania","ror":"https://ror.org/01spssf70","country_code":"US","type":"education","lineage":["https://openalex.org/I36788626"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew D. Maidment","raw_affiliation_strings":["Univ. of Pennsylvania (United States)"],"affiliations":[{"raw_affiliation_string":"Univ. of Pennsylvania (United States)","institution_ids":["https://openalex.org/I36788626"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054510591"],"corresponding_institution_ids":["https://openalex.org/I36788626"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57775187,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"131","issue":null,"first_page":"74","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.996399998664856,"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":0.996399998664856,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9876999855041504,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/correlation","display_name":"Correlation","score":0.6202117204666138},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5895176529884338},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5605277419090271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5460713505744934},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5409977436065674},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3764269948005676},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37487584352493286},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3249107003211975},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24611642956733704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.206983745098114},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.06880950927734375}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6202117204666138},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5895176529884338},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605277419090271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5460713505744934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5409977436065674},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3764269948005676},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37487584352493286},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3249107003211975},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24611642956733704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.206983745098114},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06880950927734375},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2318492","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2318492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"14th International Workshop on Breast Imaging (IWBI 2018)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1976435141","https://openalex.org/W2023751161","https://openalex.org/W2033072796","https://openalex.org/W2063548382","https://openalex.org/W2068546993","https://openalex.org/W2093717980","https://openalex.org/W2104479723","https://openalex.org/W2113815591","https://openalex.org/W2121075186","https://openalex.org/W2127225632","https://openalex.org/W2131183667","https://openalex.org/W2461517348","https://openalex.org/W2482692104","https://openalex.org/W2569021041","https://openalex.org/W2592743510","https://openalex.org/W2750206788","https://openalex.org/W2789821409","https://openalex.org/W2949797623","https://openalex.org/W6658853816","https://openalex.org/W6666322175","https://openalex.org/W6667969870","https://openalex.org/W6675359382","https://openalex.org/W6734128656"],"related_works":["https://openalex.org/W2364238915","https://openalex.org/W2562018983","https://openalex.org/W2096492911","https://openalex.org/W2050740970","https://openalex.org/W372519479","https://openalex.org/W2356683864","https://openalex.org/W1966714942","https://openalex.org/W2997617510","https://openalex.org/W2023710264","https://openalex.org/W4253609645"],"abstract_inverted_index":{"A":[0],"simulation":[1,55,104,123,155,211,222,238],"of":[2,15,27,48,56,124,156,202,212,236,244],"sequential":[3,213],"breast":[4,28,49,57,70,141,206],"pathology":[5,131,214,246],"images":[6,215,247],"is":[7,31],"proposed,":[8],"as":[9],"a":[10,121,135,140,228],"prerequisite":[11],"for":[12,46,114],"the":[13,73,106,145,193,199,210,237,241],"development":[14],"virtual":[16,115],"clinical":[17,217,229],"trials":[18],"(VCTs)":[19],"with":[20,192],"radiology-pathology":[21],"(rad-path)":[22],"correlation.":[23,117],"The":[24,220,234],"rad-path":[25,116],"correlation":[26],"cancer":[29],"findings":[30],"performed":[32],"clinically":[33],"to":[34,68,105,112,134],"confirm":[35],"concordance":[36],"and":[37,61,94,97,126,159,164,173,185,204,231],"increase":[38],"confidence":[39],"in":[40,82,130],"diagnoses.":[41],"VCTs":[42,65],"have":[43,101],"been":[44,225,249],"used":[45,67],"optimization":[47],"imaging":[50,59,71],"systems,":[51],"based":[52],"upon":[53],"computer":[54],"anatomy,":[58],"modalities,":[60],"image":[62],"interpretation.":[63],"Today,":[64],"are":[66,167,176,187],"optimize":[69],"at":[72,144,216],"\u201cradiology\u201d":[74],"spatial":[75,110],"scale,":[76,111],"by":[77,169,189,227],"simulating":[78],"tissue":[79,90,128],"structures":[80],"seen":[81],"radiological":[83,146],"images,":[84,132],"namely,":[85],"skin,":[86],"adipose":[87,125],"or":[88,181],"dense":[89,127],"compartments,":[91],"fibrous":[92],"ligaments,":[93],"major":[95],"ducts":[96],"blood":[98],"vessels.":[99],"We":[100],"extended":[102],"this":[103,149],"microscopic":[107],"(i.e.,":[108],"\u201cpathology\u201d)":[109],"allow":[113],"Previously,":[118],"we":[119,151],"developed":[120],"manual":[122],"regions":[129],"corresponding":[133],"small":[136],"region":[137],"selected":[138],"within":[139],"phantom":[142],"simulated":[143,168,177,188,245],"scale.":[147],"In":[148],"paper,":[150],"describe":[152],"an":[153,190],"automated":[154],"adipocytes,":[157],"epithelial":[158],"myoepithelial":[160,174],"cells,":[161],"collagen":[162],"fibers,":[163],"fibroblasts.":[165],"Adipocytes":[166],"recursive":[170],"partitioning.":[171],"Epithelial":[172],"cells":[175,203],"radially":[178],"around":[179],"ductal":[180],"acinar":[182],"lumen.":[183],"Fibers":[184],"fibroblasts":[186],"analogy":[191],"electrostatic":[194],"field.":[195],"Our":[196],"approach":[197],"models":[198],"volumetric":[200],"distributions":[201],"various":[205],"tissues,":[207],"which":[208],"allows":[209],"inter-slice":[218],"distances.":[219],"proposed":[221],"method":[223],"has":[224,248],"evaluated":[226],"pathologist":[230],"medical":[232],"physicists.":[233],"effect":[235],"approaches":[239],"on":[240],"visual":[242],"appearance":[243],"evaluated.":[250]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}