ArticleScientific data2024
Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Artificial intelligence in cataract management: current status and future perspectives.International ophthalmology · 2026Review
- LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology.ACM transactions on computing for healthcare · 2026Article
- Multicenter fine annotated surgical video dataset for minimally invasive glaucoma surgery.Scientific data · 2026Article
- Cataract-LMM Large-Scale Multi-Source Multi-Task Benchmark for Deep Learning in Surgical Video Analysis.Scientific data · 2026Article
- An Evaluation of the Mean Teacher Framework for Semi-Supervised Cataract Surgical Image Segmentation.Translational vision science & technology · 2026Article
- An ophthalmic video foundation model for surgical recognition and navigation with wet-lab porcine eye validation.Nature biomedical engineering · 2026Article
- Cha-PO and CVNet: a hybrid approach for automated cataract detection using adaptive feature selection and deep learning for high accuracy and efficiency.Scientific reports · 2026Article
- Real-time corneal image segmentation for cataract surgery based on detection framework.International journal of computer assisted radiology and surgery · 2026Article
- Artificial Intelligence in Ophthalmology: Practical Applications, Subspecialty Evidence and Real-World Deployment.Cureus · 2025Review
- AI-Powered Mobile App for Nuclear Cataract Detection.Sensors (Basel, Switzerland) · 2025Article
- Dynamic key vascular anatomy dataset for D2 lymph node dissection during laparoscopic gastric cancer surgery.Scientific data · 2025Article
- LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.Findings of ACL. NAACL · 2025Article
- Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos.Scientific data · 2024Article
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Authors and funding
8 authors.
Funding
Abstract
In recent years, the landscape of computer-assisted interventions and post-operative surgical video analysis has been dramatically reshaped by deep-learning techniques, resulting in significant advancements in surgeons' skills, operation room management, and overall surgical outcomes. However, the progression of deep-learning-powered surgical technologies is profoundly reliant on large-scale datasets and annotations. In particular, surgical scene understanding and phase recognition stand as pivotal pillars within the realm of computer-assisted surgery and post-operative assessment of cataract surgery videos. In this context, we present the largest cataract surgery video dataset that addresses diverse requisites for constructing computerized surgical workflow analysis and detecting post-operative irregularities in cataract surgery. We validate the quality of annotations by benchmarking the performance of several state-of-the-art neural network architectures for phase recognition and surgical scene segmentation. Besides, we initiate the research on domain adaptation for instrument segmentation in cataract surgery by evaluating cross-domain instrument segmentation performance in cataract surgery videos. The dataset and annotations are publicly available in Synapse.
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