Publications by authors named "Yamlahi A"
Article Synopsis
- - Colorectal cancer (CRC) is a leading cause of death globally, and early detection of polyps is crucial for reducing mortality and improving diagnostic efficiency.
- - This study introduces a complete validation framework and evaluates various techniques for detecting, segmenting, and classifying polyps, finding that most methods perform well in detection and segmentation but struggle with classification.
- - The research emphasizes the need for further advancements in polyp classification to support clinicians effectively during procedures, proposing a standardized method to assess and compare different approaches in the field.
Background: Laparoscopic cholecystectomy is a very frequent surgical procedure. However, in an ageing society, less surgical staff will need to perform surgery on patients. Collaborative surgical robots (cobots) could address surgical staff shortages and workload.
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- - Formalizing surgical activities as triplets of instruments, actions, and target anatomies helps enhance the understanding of tool-tissue interactions, improving AI assistance in image-guided surgeries.
- - The CholecTriplet2022 challenge expands the previous work by adding weakly-supervised localization of surgical tools and modeling their activities as ‹instrument, verb, target› triplets.
- - The paper outlines a baseline method and presents 10 new deep learning algorithms, while also comparing their effectiveness and analyzing results to provide insights for future surgical research.
Sources of performance variability in deep learning-based polyp detection.
Int J Comput Assist Radiol Surg
July 2023
Purpose: Validation metrics are a key prerequisite for the reliable tracking of scientific progress and for deciding on the potential clinical translation of methods. While recent initiatives aim to develop comprehensive theoretical frameworks for understanding metric-related pitfalls in image analysis problems, there is a lack of experimental evidence on the concrete effects of common and rare pitfalls on specific applications. We address this gap in the literature in the context of colon cancer screening.
View Article and Find Full Text PDFCorrection to: Robust hand tracking for surgical telestration.
Int J Comput Assist Radiol Surg
August 2022
Purpose: As human failure has been shown to be one primary cause for post-operative death, surgical training is of the utmost socioeconomic importance. In this context, the concept of surgical telestration has been introduced to enable experienced surgeons to efficiently and effectively mentor trainees in an intuitive way. While previous approaches to telestration have concentrated on overlaying drawings on surgical videos, we explore the augmented reality (AR) visualization of surgical hands to imitate the direct interaction with the situs.
View Article and Find Full Text PDFDeep learning-based classification of DSA image sequences of patients with acute ischemic stroke.
Int J Comput Assist Radiol Surg
September 2022
Purpose: Recently, a large number of patients with acute ischemic stroke benefited from the use of thrombectomy, a minimally invasive intervention technique for mechanically removing thrombi from the cerebrovasculature. During thrombectomy, 2D digital subtraction angiography (DSA) image sequences are acquired simultaneously from the posterior-anterior and the lateral view to control whether thrombus removal was successful, and to possibly detect newly occluded areas caused by thrombus fragments split from the main thrombus. However, such new occlusions, which would be treatable by thrombectomy, may be overlooked during the intervention.
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