{"id":"https://openalex.org/W4401067333","doi":"https://doi.org/10.1145/3670105.3670156","title":"ML-Unet: Performing Retinal Segmentation by Integrating Frequency Domain Information","display_name":"ML-Unet: Performing Retinal Segmentation by Integrating Frequency Domain Information","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401067333","doi":"https://doi.org/10.1145/3670105.3670156"},"language":"en","primary_location":{"id":"doi:10.1145/3670105.3670156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","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/A5069609726","display_name":"Tianxiang Li","orcid":"https://orcid.org/0009-0004-3169-3978"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Li","raw_affiliation_strings":["Heilongjiang University, China"],"raw_orcid":"https://orcid.org/0009-0004-3169-3978","affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079274590","display_name":"Hui Ma","orcid":"https://orcid.org/0000-0002-0513-2462"},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Ma","raw_affiliation_strings":["Heilongjiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-0513-2462","affiliations":[{"raw_affiliation_string":"Heilongjiang University, China","institution_ids":["https://openalex.org/I55022517"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55022517"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10138534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"304","last_page":"308"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"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"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9915000200271606,"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/T10250","display_name":"Glaucoma and retinal disorders","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"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/computer-science","display_name":"Computer science","score":0.6990943551063538},{"id":"https://openalex.org/keywords/retinal","display_name":"Retinal","score":0.5455947518348694},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.523644208908081},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4971494972705841},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44143643975257874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43372148275375366},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4227387309074402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10175597667694092},{"id":"https://openalex.org/keywords/ophthalmology","display_name":"Ophthalmology","score":0.08081293106079102},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07459357380867004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6990943551063538},{"id":"https://openalex.org/C2780827179","wikidata":"https://www.wikidata.org/wiki/Q422001","display_name":"Retinal","level":2,"score":0.5455947518348694},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.523644208908081},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4971494972705841},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44143643975257874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43372148275375366},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4227387309074402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10175597667694092},{"id":"https://openalex.org/C118487528","wikidata":"https://www.wikidata.org/wiki/Q161437","display_name":"Ophthalmology","level":1,"score":0.08081293106079102},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07459357380867004},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670105.3670156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1996550590","https://openalex.org/W2072130234","https://openalex.org/W2150769593","https://openalex.org/W2793640035","https://openalex.org/W2888358068","https://openalex.org/W2950178297","https://openalex.org/W3121708854","https://openalex.org/W3161081823","https://openalex.org/W3190695173","https://openalex.org/W3203782524","https://openalex.org/W4206256425","https://openalex.org/W4300424419","https://openalex.org/W4313023779","https://openalex.org/W4385611612","https://openalex.org/W4386017244"],"related_works":["https://openalex.org/W4387265590","https://openalex.org/W1995904975","https://openalex.org/W3032712071","https://openalex.org/W4389019322","https://openalex.org/W3040090327","https://openalex.org/W2756647615","https://openalex.org/W83614871","https://openalex.org/W2979526170","https://openalex.org/W3165750835","https://openalex.org/W4379231730"],"abstract_inverted_index":{"Retinal":[0],"vessel":[1,39],"segmentation":[2,25,55],"is":[3],"very":[4],"important":[5],"for":[6,22],"the":[7,16,49,84,91,106,111,121,126,140,143],"clinical":[8],"diagnosis":[9],"of":[10,18,110,142],"various":[11],"common":[12],"eye":[13],"diseases.":[14],"Therefore,":[15],"use":[17],"computer":[19],"vision":[20],"model":[21],"vascular":[23],"automatic":[24],"has":[26],"attracted":[27],"more":[28,30],"and":[29,41,76,95,108,136],"attention.":[31],"However,":[32],"there":[33],"are":[34,80,99,118],"individual":[35],"differences":[36],"in":[37,44,130],"blood":[38,51],"morphology,":[40],"background":[42],"noise":[43],"fundus":[45],"images":[46],"can":[47],"blur":[48],"tiny":[50],"vessels,":[52],"leading":[53],"to":[54,82,104,124],"difficulties.":[56],"To":[57],"solve":[58],"these":[59],"problems,":[60],"we":[61],"propose":[62],"a":[63],"new":[64],"ML-net":[65],"method,":[66],"which":[67],"improves":[68],"U-net":[69],"by":[70],"integrating":[71],"frequency-domain":[72],"information.":[73],"Wavelet":[74],"transform":[75,79],"fast":[77],"Fourier":[78],"used":[81],"decompose":[83],"image":[85],"into":[86,120],"different":[87],"frequency":[88,93,97],"components.":[89],"Then":[90],"high":[92],"information":[94,98],"low":[96],"processed":[100],"respectively,":[101],"so":[102],"as":[103],"realize":[105],"filtering":[107],"optimization":[109],"original":[112,122],"image.":[113],"In":[114],"addition,":[115],"Gabor":[116],"filters":[117],"integrated":[119],"network":[123,129],"assist":[125],"convolutional":[127],"neural":[128],"feature":[131],"extraction.":[132],"Experiments":[133],"on":[134],"DRIVE":[135],"CHASE_DB1":[137],"datasets":[138],"demonstrate":[139],"effectiveness":[141],"proposed":[144],"method.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
