{"id":"https://openalex.org/W7139926411","doi":"https://doi.org/10.48550/arxiv.2603.18544","title":"SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement","display_name":"SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139926411","doi":"https://doi.org/10.48550/arxiv.2603.18544"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18544","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058735687","display_name":"Haodi Ping","orcid":"https://orcid.org/0000-0002-7947-7826"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping, Haonan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130241839","display_name":"Jian Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130233541","display_name":"Cheng Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Cheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427498","display_name":"Qizhen Sun","orcid":"https://orcid.org/0000-0002-2410-6470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Qizhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130247516","display_name":"Lv Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Lv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011762462","display_name":"Yutong Ban","orcid":"https://orcid.org/0000-0001-5396-9251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ban, Yutong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10916","display_name":"Surgical Simulation and Training","score":0.3671000003814697,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10916","display_name":"Surgical Simulation and Training","score":0.3671000003814697,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.29739999771118164,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.061400000005960464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7006000280380249},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.699999988079071},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6543999910354614},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6176000237464905},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5914999842643738},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"Iterative refinement","score":0.4625000059604645},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.40860000252723694},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.40720000863075256}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7077000141143799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7049000263214111},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7006000280380249},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.699999988079071},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6543999910354614},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6176000237464905},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5914999842643738},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.40860000252723694},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.40720000863075256},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3776000142097473},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3059999942779541},{"id":"https://openalex.org/C2779370443","wikidata":"https://www.wikidata.org/wiki/Q1776627","display_name":"Surgical planning","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.29089999198913574},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18544","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18544","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18544","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"segmentation":[1,136],"of":[2],"tissues":[3],"and":[4,18,27,35,98,192],"instruments":[5],"in":[6,125],"surgical":[7,52,179],"scenes":[8],"is":[9,113],"annotation-intensive":[10],"due":[11],"to":[12,39,116,133],"irregular":[13],"shapes,":[14],"thin":[15],"structures,":[16],"specularities,":[17],"frequent":[19],"occlusions.":[20],"While":[21],"SAM":[22,123,140],"models":[23],"support":[24],"point,":[25],"box,":[26],"mask":[28,72],"prompts,":[29],"points":[30],"are":[31],"often":[32],"too":[33,37],"sparse":[34],"boxes":[36],"coarse":[38],"localize":[40],"such":[41,138],"challenging":[42],"targets.":[43],"We":[44],"present":[45],"SCISSR,":[46],"a":[47,57,78,117],"scribble-promptable":[48],"framework":[49,112],"for":[50,77],"interactive":[51],"scene":[53],"segmentation.":[54],"It":[55],"introduces":[56],"lightweight":[58,153],"Scribble":[59,93],"Encoder":[60],"that":[61],"converts":[62],"freehand":[63],"scribbles":[64],"into":[65],"dense":[66],"prompt":[67],"embeddings":[68],"compatible":[69],"with":[70,102,188,197],"the":[71,103,111,129,157,172],"decoder,":[73],"enabling":[74],"iterative":[75,202],"refinement":[76],"target":[79],"object":[80],"by":[81],"drawing":[82],"corrective":[83],"strokes":[84],"on":[85,122,162,171,185,195,205],"error":[86],"regions.":[87],"Because":[88],"all":[89],"added":[90],"modules":[91],"(the":[92],"Encoder,":[94],"Spatial":[95],"Gated":[96],"Fusion,":[97],"LoRA":[99],"adapters)":[100],"interact":[101],"backbone":[104,159],"only":[105,151],"through":[106],"its":[107],"standard":[108],"embedding":[109],"interfaces,":[110],"not":[114],"tied":[115],"single":[118],"model:":[119],"we":[120,149],"build":[121],"2":[124],"this":[126],"work,":[127],"yet":[128],"same":[130],"components":[131],"transfer":[132],"other":[134],"prompt-driven":[135],"architectures":[137],"as":[139],"3":[141],"without":[142],"structural":[143],"modification.":[144],"To":[145],"preserve":[146],"pre-trained":[147],"capabilities,":[148],"train":[150],"these":[152],"additions":[154],"while":[155,169],"keeping":[156],"remaining":[158],"frozen.":[160],"Experiments":[161],"EndoVis":[163,186],"2018":[164,187],"demonstrate":[165],"strong":[166],"in-domain":[167],"performance,":[168],"evaluation":[170],"out-of-distribution":[173],"CholecSeg8k":[174,196],"further":[175],"confirms":[176],"robustness":[177],"across":[178],"domains.":[180],"SCISSR":[181],"achieves":[182],"95.41%":[183],"Dice":[184,194],"five":[189],"interaction":[190,199],"rounds":[191],"96.30%":[193],"three":[198],"rounds,":[200],"outperforming":[201],"point":[203],"prompting":[204],"both":[206],"benchmarks.":[207]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}
