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arXiv Computer Vision By Hyunjun Kim, Hyeonwoo Na, Jaewoo Lee

Lesion-centered 3D mapping of colonoscopy procedures: validation of a hierarchical ensemble pipeline on public benchmark videos

Read the original on arXiv Computer Vision →

The paper presents a four‑layer hierarchical pipeline that constructs a lesion‑centered spatial record from colonoscopy videos without full‑colon 3D reconstruction. It combines a global topological map, lesion‑level spatio‑temporal tracks, on‑demand local 3D reconstruction, and persistent lesion identity across repeated observations, and evaluates the system on four public videos. The results show successful detection of revisit events, accurate lesion identity merging, and superior geometry accuracy compared to a general‑purpose foundation model.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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