Zobrazeno 1 - 10
of 247
pro vyhledávání: '"Sikder, Shameema"'
Federated Learning (FL) is a form of distributed learning that allows multiple institutions or clients to collaboratively learn a global model to solve a task. This allows the model to utilize the information from every institute while preserving dat
Externí odkaz:
http://arxiv.org/abs/2410.24181
Medical image segmentation has been traditionally approached by training or fine-tuning the entire model to cater to any new modality or dataset. However, this approach often requires tuning a large number of parameters during training. With the intr
Externí odkaz:
http://arxiv.org/abs/2408.06447
In recent years, various large foundation models have been proposed for image segmentation. There models are often trained on large amounts of data corresponding to general computer vision tasks. Hence, these models do not perform well on medical dat
Externí odkaz:
http://arxiv.org/abs/2405.10913
Autor:
Paranjape, Jay N., Nair, Nithin Gopalakrishnan, Sikder, Shameema, Vedula, S. Swaroop, Patel, Vishal M.
Segmentation is a fundamental problem in surgical scene analysis using artificial intelligence. However, the inherent data scarcity in this domain makes it challenging to adapt traditional segmentation techniques for this task. To tackle this issue,
Externí odkaz:
http://arxiv.org/abs/2308.03726
Surgical tool presence detection is an important part of the intra-operative and post-operative analysis of a surgery. State-of-the-art models, which perform this task well on a particular dataset, however, perform poorly when tested on another datas
Externí odkaz:
http://arxiv.org/abs/2308.04035
Automated surgical step recognition is an important task that can significantly improve patient safety and decision-making during surgeries. Existing state-of-the-art methods for surgical step recognition either rely on separate, multi-stage modeling
Externí odkaz:
http://arxiv.org/abs/2307.11081
Autor:
Hira, Sanchit, Singh, Digvijay, Kim, Tae Soo, Gupta, Shobhit, Hager, Gregory, Sikder, Shameema, Vedula, S. Swaroop
Purpose: The objective of this investigation is to provide a comprehensive analysis of state-of-the-art methods for video-based assessment of surgical skill in the operating room. Methods: Using a data set of 99 videos of capsulorhexis, a critical st
Externí odkaz:
http://arxiv.org/abs/2205.06416
Publikováno v:
In Surgery Open Science August 2023 14:52-59
Publikováno v:
In Ophthalmology Science June 2023 3(2)
Publikováno v:
Scientific Reports; 11/6/2024, Vol. 14 Issue 1, p1-14, 14p