5 papers · 1 filter
First-frame Supervised Video Polyp Segmentation via Propagative and Semantic Dual-teacher Network
Qiang Hu, Mei Liu, Qiang Li +1
Automatic video polyp segmentation plays a critical role in gastrointestinal cancer screening, but the cost of frameby-frame annotations is prohibitively high. While sparse-frame s…
SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
Qiang Hu, Zhenyu Yi, Ying Zhou +4
Colonoscopy videos provide richer information in polyp segmentation for rectal cancer diagnosis. However, the endoscope's fast moving and close-up observing make the current method…
StyleSeg V2: Towards Robust One-shot Segmentation of Brain Tissue via Optimization-free Registration Error Perception
Zhiwei Wang, Xiaoyu Zeng, Chongwei Wu +4
One-shot segmentation of brain tissue requires training registration-segmentation (reg-seg) dual-model iteratively, where reg-model aims to provide pseudo masks of unlabeled images…
MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images
Zhiwei Wang, Ying Zhou, Shiquan He +6
Photometric constraint is indispensable for self-supervised monocular depth estimation. It involves warping a source image onto a target view using estimated depth&pose, and then m…
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint
Qiang Hu, Zhenyu Yi, Ying Zhou +4
We propose MonoBox, an innovative box-supervised segmentation method constrained by monotonicity to liberate its training from the user-unfriendly box-tightness assumption. In cont…