[HTML][HTML] Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
FR Kolbinger, S Bodenstedt, M Carstens… - European Journal of …, 2023 - Elsevier
Introduction Complex oncological procedures pose various surgical challenges including
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …
Self-supervised learning for endoscopic video analysis
Self-supervised learning (SSL) has led to important breakthroughs in computer vision by
allowing learning from large amounts of unlabeled data. As such, it might have a pivotal role …
allowing learning from large amounts of unlabeled data. As such, it might have a pivotal role …
Encoding surgical videos as latent spatiotemporal graphs for object and anatomy-driven reasoning
Recently, spatiotemporal graphs have emerged as a concise and elegant manner of
representing video clips in an object-centric fashion, and have shown to be useful for …
representing video clips in an object-centric fashion, and have shown to be useful for …
Latent graph representations for critical view of safety assessment
Assessing the critical view of safety in laparoscopic cholecystectomy requires accurate
identification and localization of key anatomical structures, reasoning about their geometric …
identification and localization of key anatomical structures, reasoning about their geometric …
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Data-driven methods have shown tremendous progress in medical image analysis. In this
context, deep learning-based supervised methods are widely popular. However, they …
context, deep learning-based supervised methods are widely popular. However, they …
The endoscapes dataset for surgical scene segmentation, object detection, and critical view of safety assessment: official splits and benchmark
This technical report provides a detailed overview of Endoscapes, a dataset of laparoscopic
cholecystectomy (LC) videos with highly intricate annotations targeted at automated …
cholecystectomy (LC) videos with highly intricate annotations targeted at automated …
Cyclesam: One-shot surgical scene segmentation using cycle-consistent feature matching to prompt sam
The recently introduced Segment-Anything Model (SAM) has the potential to greatly
accelerate the development of segmentation models. However, directly applying SAM to …
accelerate the development of segmentation models. However, directly applying SAM to …
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
E Sanderson, BJ Matuszewski - IEEE Access, 2024 - ieeexplore.ieee.org
Solutions to vision tasks in gastrointestinal endoscopy (GIE) conventionally use image
encoders pretrained in a supervised manner with ImageNet-1k as backbones. However, the …
encoders pretrained in a supervised manner with ImageNet-1k as backbones. However, the …
Live laparoscopic video retrieval with compressed uncertainty
Searching through large volumes of medical data to retrieve relevant information is a
challenging yet crucial task for clinical care. However the primitive and most common …
challenging yet crucial task for clinical care. However the primitive and most common …
Learning multi-modal representations by watching hundreds of surgical video lectures
Recent advancements in surgical computer vision applications have been driven by fully-
supervised methods, primarily using only visual data. These methods rely on manually …
supervised methods, primarily using only visual data. These methods rely on manually …