MonoPCC: Photometric-invariant Cycle Constraint for Monocular Depth Estimation of Endoscopic Images

no code implementations • 25 Apr 2024 • Zhiwei Wang, Ying Zhou, Shiquan He, Ting Li, Yitong Zhang, Xinxia Feng, Mei Liu, Qiang Li

Photometric constraint is indispensable for self-supervised monocular depth estimation.

IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors

no code implementations • 11 Oct 2023 • Zhiwei Wang, Qiang Hu, Hongkuan Shi, Li He, Man He, Wenxuan Dai, Ting Li, Yitong Zhang, Dun Li, Mei Liu, Qiang Li

In response, we propose two innovative learning fashions, Improved Box-dice (IBox) and Contrastive Latent-Anchors (CLA), and combine them to train a robust box-supervised model IBoxCLA.

Segmentation

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery

1 code implementation • 6 Feb 2023 • Joao Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yong Eun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder Kahrs, Lars Boecking, Simeon Allmendinger, Leopold Muller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Estevao Lima, Joao L. Vilaca, Sandro Queiros, Stamatia Giannarou

This assessment uses benchmarking metrics that were purposely developed for this challenge, to verify the efficacy of unsupervised deep learning algorithms in tracking soft-tissue.

Benchmarking Camera Calibration +1

Retrieval of surgical phase transitions using reinforcement learning

no code implementations • 1 Aug 2022 • Yitong Zhang, Sophia Bano, Ann-Sophie Page, Jan Deprest, Danail Stoyanov, Francisco Vasconcelos

In minimally invasive surgery, surgical workflow segmentation from video analysis is a well studied topic.

Multi-class Classification reinforcement-learning +2