Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos.

Ghamsarian, Negin; El-Shabrawi, Yosuf; Nasirihaghighi, Sahar; Putzgruber-Adamitsch, Doris; Zinkernagel, Martin; Wolf, Sebastian; Schoeffmann, Klaus; Sznitman, Raphael (2024). Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos. Scientific data, 11(373) Nature Publishing Group 10.1038/s41597-024-03193-4

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - AI in Medical Imaging Laboratory
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Ophthalmology

UniBE Contributor:

Ghamsarian, Negin, Zinkernagel, Martin Sebastian, Wolf, Sebastian (B), Sznitman, Raphael

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

2052-4463

Publisher:

Nature Publishing Group

Language:

English

Submitter:

Pubmed Import

Date Deposited:

16 Apr 2024 08:41

Last Modified:

16 Apr 2024 08:50

Publisher DOI:

10.1038/s41597-024-03193-4

PubMed ID:

38609405

BORIS DOI:

10.48350/195949

URI:

https://boris.unibe.ch/id/eprint/195949

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