Binary polyp-size classification based on deep-learned spatial information.
Hayato ItohMasahiro OdaKai JiangYuichi MoriMasashi MisawaShin-Ei KudoKenichiro ImaiSayo ItoKinichi HottaKensaku MoriPublished in: International journal of computer assisted radiology and surgery (2021)
We developed a binary polyp-size classification method by utilising the estimated three-dimensional shape of a polyp. Experiments demonstrated accurate classification for both protruded- and flat-type polyps, even though the flat type have ambiguous boundary between a polyp and colon wall.