Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Windsor, Rhydian"'
We propose a general pipeline to automate the extraction of labels from radiology reports using large language models, which we validate on spinal MRI reports. The efficacy of our labelling method is measured on five distinct conditions: spinal cance
Externí odkaz:
http://arxiv.org/abs/2410.17235
This work introduces a simple deep-learning based method to delineate contours by `walking' along learnt unit vector fields. We demonstrate the effectiveness of our pipeline on the unique case of open contours on the task of delineating the sacroilia
Externí odkaz:
http://arxiv.org/abs/2305.17024
This paper explores training medical vision-language models (VLMs) -- where the visual and language inputs are embedded into a common space -- with a particular focus on scenarios where training data is limited, as is often the case in clinical datas
Externí odkaz:
http://arxiv.org/abs/2303.17644
This paper proposes a novel transformer-based model architecture for medical imaging problems involving analysis of vertebrae. It considers two applications of such models in MR images: (a) detection of spinal metastases and the related conditions of
Externí odkaz:
http://arxiv.org/abs/2206.13173
This technical report presents SpineNetV2, an automated tool which: (i) detects and labels vertebral bodies in clinical spinal magnetic resonance (MR) scans across a range of commonly used sequences; and (ii) performs radiological grading of lumbar i
Externí odkaz:
http://arxiv.org/abs/2205.01683
Autor:
Windsor, Rhydian1 (AUTHOR) rhydian@robots.ox.ac.uk, Jamaludin, Amir1 (AUTHOR), Kadir, Timor1 (AUTHOR), Zisserman, Andrew1 (AUTHOR)
Publikováno v:
Scientific Reports. 7/1/2024, Vol. 14 Issue 1, p1-14. 14p.
This paper explores the use of self-supervised deep learning in medical imaging in cases where two scan modalities are available for the same subject. Specifically, we use a large publicly-available dataset of over 20,000 subjects from the UK Biobank
Externí odkaz:
http://arxiv.org/abs/2107.06652
We propose a novel convolutional method for the detection and identification of vertebrae in whole spine MRIs. This involves using a learnt vector field to group detected vertebrae corners together into individual vertebral bodies and convolutional i
Externí odkaz:
http://arxiv.org/abs/2007.02606
Autor:
Windsor, Rhydian, Jamaludin, Amir
In this paper we introduce the Ladder Algorithm; a novel recurrent algorithm to detect repetitive structures in natural images with high accuracy using little training data. We then demonstrate the algorithm on the task of extracting vertebrae from w
Externí odkaz:
http://arxiv.org/abs/2001.11284
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