Advancing automated phase recognition in cataract surgery through the SICS-155 challenge
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs). Automated analysis of SICS videos based on artificial intelligence (AI) would benefit self-evaluation, training, monitoring, and ultimately facilitate computer aided surgical assistance. However, this procedure remains understudied in terms of automated surgical analysis due to a lack of publicly available data. To advance this field, we organized the SICS-155 phase recognition challenge at MICCAI 2025. It was based on a dataset with 155 videos recorded at Sankara Eye Hospital in Bengaluru, India with an average duration of 13:05 minutes, annotated with 19 distinct surgical phases. In this work, we first present the results and findings of that challenge in accordance with the BIAS guidelines. Second, we integrated key technical innovations from the participating teams to develop a new, state-of-the-art approach for phase recognition in a post-operative, offline setting. This approach uses a boundary-aware FACT architecture, which we evaluated using videos of both SICS and phacoemulsification.
- Veröffentlicht in:
Medical Image Analysis - Typ:
Article - Autoren:
- Jahr:
2027 - Source:
https://www.sciencedirect.com/science/article/pii/S1361841526003828?fr=RR-2&ref=pdf_download&rr=a59d4b2ddac6a062
Informationen zur Zitierung
: Advancing automated phase recognition in cataract surgery through the SICS-155 challenge, Medical Image Analysis, 2027, 115, 104313, January, https://www.sciencedirect.com/science/article/pii/S1361841526003828?fr=RR-2&ref=pdf_download&rr=a59d4b2ddac6a062, Mueller.etal.2027a,
@Article{Mueller.etal.2027a,
author={Mueller, Simon; Sachdeva, Bhuvan; Prasad, Singri Niharika; Lechtenboehmer, Raphael; Holz, Frank G.; Finger, Robert P.; Nielsen, Christopher; Gooi, Patrick; Gooi, Adrian; Forkert, Nils D.; Jarida, Yasser El; Iraqi, Youssef; Mekouar, Loubna; Kong, Yiran; Huang, Zhihai; Du, Jiawei; Li, Huiqi; Renz-Kiefel, Lasse; Wisotzky, Eric L.; Zheng, Dong; Lin, Jiacheng; Hu, Miao; Xu, Yanwu; Jain, Mohit; Murali, Kaushik; Wintergerst, Maximilian W. M.; Schultz, Thomas},
title={Advancing automated phase recognition in cataract surgery through the SICS-155 challenge},
journal={Medical Image Analysis},
volume={115},
number={104313},
month={January},
url={https://www.sciencedirect.com/science/article/pii/S1361841526003828?fr=RR-2&ref=pdf_download&rr=a59d4b2ddac6a062},
year={2027},
abstract={Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs). Automated analysis of SICS videos based on artificial intelligence (AI) would benefit self-evaluation, training, monitoring, and ultimately facilitate computer aided surgical assistance. However, this procedure remains understudied in terms of automated surgical analysis due to a...}}
