From the 1 of 4 linked papers with an AI index.
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Registration-Grounded Spectral Fusion for Unregistered WLI/NBI Endoscopic Lesion Segmentation
Pengyu Jie, Wanquan Liu, Rui He +5
The paper proposes a reliability‑aware framework that first aligns features from white‑light and narrow‑band endoscopic images and then fuses them in a complex‑valued representatio…
SOFTooth: Semantics-Enhanced Order-Aware Fusion for Tooth Instance Segmentation
Xiaolan Li, Wanquan Liu, Pengcheng Li +2
Three-dimensional (3D) tooth instance segmentation remains challenging due to crowded arches, ambiguous tooth-gingiva boundaries, missing teeth, and rare yet clinically important t…
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation
Pengyu Jie, Wanquan Liu, Chenqiang Gao +6
Lesion segmentation on nasal endoscopic images is challenging due to its complex lesion features. Fully-supervised deep learning methods achieve promising performance with pixel-le…
IVGF: The Fusion-Guided Infrared and Visible General Framework
Fangcen Liu, Chenqiang Gao, Fang Chen +3
Infrared and visible dual-modality tasks such as semantic segmentation and object detection can achieve robust performance even in extreme scenes by fusing complementary informatio…