{"id":"https://openalex.org/W7126261662","doi":"https://doi.org/10.1016/j.imavis.2026.105924","title":"HOPE: Histopathological image Organization and Processing Environment","display_name":"HOPE: Histopathological image Organization and Processing Environment","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7126261662","doi":"https://doi.org/10.1016/j.imavis.2026.105924"},"language":"en","primary_location":{"id":"doi:10.1016/j.imavis.2026.105924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.105924","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.imavis.2026.105924","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026226784","display_name":"Daniel Riccio","orcid":"https://orcid.org/0000-0002-5844-0602"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniel Riccio","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5844-0602","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069419408","display_name":"Mara Sangiovanni","orcid":"https://orcid.org/0000-0003-4511-5031"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mara Sangiovanni","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy"],"raw_orcid":"https://orcid.org/0000-0003-4511-5031","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099269064","display_name":"Francesco Longobardi","orcid":"https://orcid.org/0009-0000-0046-505X"},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Longobardi","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy"],"raw_orcid":"https://orcid.org/0009-0000-0046-505X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116499439","display_name":"Andrea Francesco Scalella","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Francesco Scalella","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy","institution_ids":["https://openalex.org/I4210104655"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043467311","display_name":"Vincenzo Manfredi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104655","display_name":"Ingegneria dei Trasporti (Italy)","ror":"https://ror.org/01fp7rv25","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210104655"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Manfredi","raw_affiliation_strings":["Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Information Technology, via Claudio, 21, Naples, 80125, Italy","institution_ids":["https://openalex.org/I4210104655"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026226784"],"corresponding_institution_ids":["https://openalex.org/I4210104655"],"apc_list":{"value":2270,"currency":"USD","value_usd":2270},"apc_paid":{"value":2270,"currency":"USD","value_usd":2270},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11014482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"168","issue":null,"first_page":"105924","last_page":"105924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.8097000122070312,"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":0.8097000122070312,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.09709999710321426,"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/T11134","display_name":"Breast Lesions and Carcinomas","score":0.007699999958276749,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic 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/scalability","display_name":"Scalability","score":0.5612000226974487},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5162000060081482},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.4925000071525574},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4153999984264374},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40619999170303345},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.3944999873638153},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.3896999955177307},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.36239999532699585},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36160001158714294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8528000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5802000164985657},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5612000226974487},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5162000060081482},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.4925000071525574},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45329999923706055},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4153999984264374},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40619999170303345},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.3944999873638153},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3896999955177307},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36239999532699585},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36160001158714294},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3522000014781952},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3384999930858612},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3021000027656555},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.2913999855518341},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.imavis.2026.105924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.105924","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.imavis.2026.105924","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.imavis.2026.105924","pdf_url":null,"source":{"id":"https://openalex.org/S177430994","display_name":"Image and Vision Computing","issn_l":"0262-8856","issn":["0262-8856","1872-8138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Image and Vision Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5485292077064514,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7680209173","display_name":null,"funder_award_id":"PE0000013-FAIR","funder_id":"https://openalex.org/F5497039910","funder_display_name":"Ministero dell'Istruzione e del Merito"}],"funders":[{"id":"https://openalex.org/F5497039910","display_name":"Ministero dell'Istruzione e del Merito","ror":"https://ror.org/01ehyh486"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1976272309","https://openalex.org/W1983221500","https://openalex.org/W1986883746","https://openalex.org/W2018342351","https://openalex.org/W2027393660","https://openalex.org/W2040903332","https://openalex.org/W2085491701","https://openalex.org/W2096733369","https://openalex.org/W2118217749","https://openalex.org/W2130989669","https://openalex.org/W2131827053","https://openalex.org/W2159047013","https://openalex.org/W2165558283","https://openalex.org/W2172636927","https://openalex.org/W2194775991","https://openalex.org/W2581059048","https://openalex.org/W2766934651","https://openalex.org/W2885824038","https://openalex.org/W2900118953","https://openalex.org/W2905969903","https://openalex.org/W2946598429","https://openalex.org/W2963073614","https://openalex.org/W3016977724","https://openalex.org/W3037731665","https://openalex.org/W3110055068","https://openalex.org/W3202429845","https://openalex.org/W4376112629","https://openalex.org/W4386453718","https://openalex.org/W4406917762"],"related_works":[],"abstract_inverted_index":{"In":[0],"disciplines":[1],"such":[2,43,53],"as":[3,44,54],"digital":[4,80],"pathology,":[5],"the":[6,21,145,185,193,243,296,323,328],"management":[7],"of":[8,11,27,70,148,298,341],"vast":[9],"amounts":[10],"data,":[12,342],"primarily":[13],"ultra-high-resolution":[14],"images,":[15],"remains":[16],"a":[17,89,151,164,271,305],"significant":[18],"barrier":[19],"to":[20,211,232,250,278,293,330],"widespread":[22],"adoption":[23],"and":[24,46,78,99,110,119,159,228,259,266,283],"seamless":[25],"sharing":[26],"knowledge.":[28],"Current":[29],"research":[30],"efforts":[31],"are":[32,72],"heavily":[33],"focused":[34],"on":[35,220,236,322],"image":[36,117,132,264],"encoding,":[37],"often":[38],"overlooking":[39],"equally":[40],"critical":[41],"aspects":[42],"indexing":[45,317],"efficient":[47,255],"content":[48],"transmission.":[49,261],"Traditional":[50],"compression":[51,136,247,289],"methods,":[52,178],"JPEG2000,":[55,251],"prioritize":[56],"reconstruction":[57,173],"quality":[58,217,354],"but":[59,107],"do":[60],"not":[61,103],"inherently":[62],"support":[63],"direct":[64,182],"retrieval":[65,183],"or":[66],"progressive":[67,202,339,353],"transmission,":[68,101],"both":[69],"which":[71,205],"essential":[73,140],"for":[74,131,171,308,333,344],"applications":[75],"like":[76],"telemedicine":[77],"large-scale":[79],"pathology":[81],"archives.":[82],"To":[83,143],"bridge":[84],"this":[85,179],"gap,":[86],"we":[87],"introduce":[88],"novel":[90],"framework":[91,123,180,245],"that":[92,242,274,319],"integrates":[93],"fractal":[94,149,194,276,324],"compression,":[95,133,150],"deep":[96],"learning-based":[97],"retrieval,":[98,258],"adaptive":[100],"optimizing":[102],"only":[104],"storage":[105],"efficiency":[106],"also":[108],"accessibility":[109],"scalability":[111],"in":[112],"histopathological":[113,234,285],"imaging.":[114],"The":[115,288],"Histopathological":[116,263],"Organization":[118,265],"Processing":[120,267],"Environment":[121,268],"(HOPE)":[122,269],"here":[124],"proposed":[125,244],"exploits":[126],"Partitioned":[127,299],"Iterated":[128,300],"Function":[129,301],"Systems":[130,302],"achieving":[134],"high":[135],"ratios":[137],"while":[138,252],"preserving":[139],"structural":[141],"details.":[142],"mitigate":[144],"inherent":[146],"artifacts":[147],"U-Net":[152,306],"autoencoder":[153,307],"is":[154,168,200,270,291],"integrated,":[155],"refining":[156],"decompressed":[157],"images":[158,235,332],"enhancing":[160],"visual":[161],"quality.":[162],"Additionally,":[163],"residual":[165],"encoding":[166,195,325],"mechanism":[167],"employed,":[169],"allowing":[170,343],"lossless":[172],"when":[174],"necessary.":[175],"Unlike":[176],"conventional":[177],"enables":[181,229],"from":[184,192],"compressed":[186],"domain":[187],"by":[188,215,352],"extracting":[189],"discriminative":[190],"features":[191],"coefficients.":[196],"Another":[197],"key":[198],"innovation":[199],"its":[201],"transmission":[203,340,347],"capability,":[204],"allows":[206],"an":[207,315,345],"initial":[208,346],"low-bitrate":[209],"preview":[210],"be":[212],"sent,":[213],"followed":[214,351],"incremental":[216],"refinements":[218],"based":[219],"diagnostic":[221],"needs.":[222],"This":[223],"significantly":[224],"reduces":[225],"network":[226],"load":[227],"real-time":[230],"access":[231],"high-resolution":[233],"resource-limited":[237],"devices.":[238],"Experimental":[239],"results":[240],"demonstrate":[241],"achieves":[246],"performance":[248],"comparable":[249],"simultaneously":[253],"enabling":[254],"indexing,":[256],"high-accuracy":[257],"scalable":[260],"\u2022":[262,287,312,336],"modular":[272],"architecture":[273],"leverages":[275],"theory":[277],"efficiently":[279],"compress,":[280],"index,":[281],"retrieve,":[282],"transmit":[284],"images.":[286],"pipeline":[290],"designed":[292],"fully":[294],"exploit":[295],"properties":[297],"(PIFS),":[303],"with":[304],"reconstructing":[309],"lost":[310],"information.":[311],"HOPE":[313,337],"introduces":[314],"advanced":[316],"system":[318],"directly":[320],"operates":[321],"coefficients,":[326],"eliminating":[327],"need":[329],"decode":[331],"similarity-based":[334],"retrieval.":[335],"supports":[338],"at":[348],"low":[349],"bitrates,":[350],"refinements.":[355]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-02-01T00:00:00"}