{"id":"https://openalex.org/W2970885776","doi":"https://doi.org/10.1109/icip.2019.8802993","title":"Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning","display_name":"Classification of Non-Tumorous Facial Pigmentation Disorders Using Improved Smote and Transfer Learning","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970885776","doi":"https://doi.org/10.1109/icip.2019.8802993","mag":"2970885776"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8802993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101803194","display_name":"Jiawei Peng","orcid":"https://orcid.org/0009-0007-3251-219X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiawei Peng","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061749367","display_name":"Ruihan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ruihan Gao","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055510228","display_name":"Long D. Nguyen","orcid":"https://orcid.org/0000-0002-1044-257X"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Long Nguyen","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051290005","display_name":"Yun-Feng Liang","orcid":"https://orcid.org/0000-0002-6316-1616"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunfeng Liang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075646539","display_name":"Steven Tien Guan Thng","orcid":"https://orcid.org/0000-0002-5980-5319"},"institutions":[{"id":"https://openalex.org/I1287551835","display_name":"National Skin Centre","ror":"https://ror.org/000p7hm12","country_code":"SG","type":"healthcare","lineage":["https://openalex.org/I1287551835"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Steven Thng","raw_affiliation_strings":["National Skin Center, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Skin Center, Singapore, Singapore","institution_ids":["https://openalex.org/I1287551835"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049506273","display_name":"Zhiping Lin","orcid":"https://orcid.org/0000-0002-1587-1226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiping Lin","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11172","display_name":"Dermatologic Treatments and Research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11172","display_name":"Dermatologic Treatments and Research","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11144","display_name":"melanin and skin pigmentation","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7663605809211731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7464002370834351},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6772841215133667},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6047384142875671},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5158742666244507},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46951979398727417},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45928525924682617},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4495863914489746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4482184648513794},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4304875135421753},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4285414218902588},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3280823528766632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663605809211731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7464002370834351},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6772841215133667},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6047384142875671},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5158742666244507},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46951979398727417},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45928525924682617},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4495863914489746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4482184648513794},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4304875135421753},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4285414218902588},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3280823528766632},{"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:10.1109/icip.2019.8802993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8802993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7200000286102295,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W164471047","https://openalex.org/W1580389772","https://openalex.org/W1884695109","https://openalex.org/W2015788378","https://openalex.org/W2045699207","https://openalex.org/W2133665775","https://openalex.org/W2134012544","https://openalex.org/W2148143831","https://openalex.org/W2212581760","https://openalex.org/W2545341242","https://openalex.org/W2800691917","https://openalex.org/W2806264589","https://openalex.org/W2890724796","https://openalex.org/W2926569761","https://openalex.org/W2964350391","https://openalex.org/W6694260854"],"related_works":["https://openalex.org/W4402452563","https://openalex.org/W3176438653","https://openalex.org/W2981628807","https://openalex.org/W3012393889","https://openalex.org/W4379875147","https://openalex.org/W3189091156","https://openalex.org/W3014041368","https://openalex.org/W2910234612","https://openalex.org/W4386087993","https://openalex.org/W4285815841"],"abstract_inverted_index":{"Classification":[0],"of":[1,36,78],"non-tumorous":[2],"facial":[3],"pigmentation":[4],"disorders":[5],"is":[6,70,96],"an":[7,49],"important":[8],"but":[9],"overlooked":[10],"problem.":[11],"Recently,":[12],"a":[13,32,91],"voting-based":[14],"probabilistic":[15],"linear":[16],"discriminant":[17],"analysis":[18],"(V-PLDA)":[19],"method":[20],"was":[21],"developed":[22],"to":[23,61,72,99],"address":[24],"this":[25,45],"problem":[26],"by":[27],"extracting":[28],"hand-craft":[29],"features":[30],"from":[31],"given":[33],"image":[34],"set":[35],"rather":[37],"small":[38],"size,":[39],"with":[40,57],"limited":[41],"classification":[42,92],"accuracy.":[43],"In":[44],"paper,":[46],"we":[47],"propose":[48],"improved":[50,86],"Synthetic":[51],"Minority":[52],"Over-sampling":[53],"Technique":[54],"(improved":[55],"SMOTE)":[56],"several":[58],"parameters":[59],"tuned":[60],"fully":[62],"utilize":[63],"the":[64,74,79,85,100],"available":[65],"images.":[66],"Moreover,":[67],"transfer":[68,89],"learning":[69,81],"applied":[71],"reduce":[73],"data":[75],"size":[76],"requirement":[77],"deep":[80],"model.":[82],"By":[83],"combining":[84],"SMOTE":[87],"and":[88],"learning,":[90],"accuracy":[93],"gain":[94],"(10%)":[95],"attained":[97],"compared":[98],"state-of-the-art":[101],"V-PLDA":[102],"method.":[103]},"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":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}