ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy

arXiv:2312.02015v2 Announce Type: replace
Abstract: Colonoscopy reconstruction is pivotal for diagnosing colorectal cancer. However, accurate long-sequence colonoscopy reconstruction faces three major challenges: (1) dissimilarity among segments of the colon due to its meandering and convoluted shape; (2) co-existence of simple and intricately folded geometry structures; (3) sparse viewpoints due to constrained camera trajectories. To tackle these challenges, we introduce a new reconstruction framework based on neural radiance field (NeRF), named ColonNeRF, which leverages neural rendering for novel view synthesis of …

abstract arxiv cancer challenges cs.cv fidelity geometry however major pivotal simple type