ArticleScientific data2026
PituPhase65: An endoscopic pituitary surgery dataset for surgical phase recognition.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Surgical Phase Recognition (SPR) aims to provide the surgical team with valuable feedback while performing an intervention. In the near future, these systems will help to shorten the learning curve of residents, improve communication among professionals in the Operating Room, and obtain an automatic complete surgical report. This is an upcoming reality for surgeries such as cholecystectomy, which are highly standardized and broadly studied. Nonetheless, endoscopic pituitary surgery still has a long way to go, as it has a higher workflow variability which hinders model learning. To move forward in this field, it is necessary to publish labeled data with which to train these models. With that aim, PituPhase65 was created, a publicly available dataset including 65 endoscopic pituitary surgeries, with a mean duration of 90 minutes, performed at Hospital Universitario 12 de Octubre (Madrid, Spain) and labelled into eight different phases: out of patient, middle turbinate resection, nasoseptal flap preparation, ethmoidectomy and sphenoidal sinus opening, sellar opening, dural opening, tumor resection, and dural closure.
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