Zobrazeno 1 - 10
of 37 110
pro vyhledávání: '"Simpson, A. L."'
CT is a main modality for imaging liver diseases, valuable in detecting and localizing liver tumors. Traditional anomaly detection methods analyze reconstructed images to identify pathological structures. However, these methods may produce suboptimal
Externí odkaz:
http://arxiv.org/abs/2408.00092
Autor:
Simpson, Gavin L.
Generalized additive models (GAMs, Hastie & Tibshirani, 1990; Wood, 2017) are an extension of the generalized linear model that allows the effects of covariates to be modelled as smooth functions. GAMs are increasingly used in many areas of science (
Externí odkaz:
http://arxiv.org/abs/2406.19082
Publikováno v:
Barabadi, M. A., Zhu, X., Chan, W. Y., Simpson, A. L., & Do, R. K. G. (2023). Parameter-Efficient Methods for Metastases Detection fromClinical Notes. Proceedings of the Canadian Conference on Artificial Intelligence
Understanding the progression of cancer is crucial for defining treatments for patients. The objective of this study is to automate the detection of metastatic liver disease from free-style computed tomography (CT) radiology reports. Our research dem
Externí odkaz:
http://arxiv.org/abs/2310.18472
Autor:
Thurston, Jonathan W.
Publikováno v:
Journal of the Fantastic in the Arts, 2019 Jan 01. 303 (106), 467-469.
Externí odkaz:
https://www.jstor.org/stable/27095636
Autor:
Simpson, Roy L.1
Publikováno v:
Vital Speeches of the Day. 7/1/2004, Vol. 70 Issue 18, p571-576. 6p.
Publikováno v:
Multiscale Multimodal Medical Imaging. MMMI 2022. Lecture Notes in Computer Science, vol 13594. Springer, Cham
Detection of tumors in metastatic colorectal cancer (mCRC) plays an essential role in the early diagnosis and treatment of liver cancer. Deep learning models backboned by fully convolutional neural networks (FCNNs) have become the dominant model for
Externí odkaz:
http://arxiv.org/abs/2308.16598
Publikováno v:
Proc. SPIE 12468, Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging, 124680U (10 April 2023)
Small liver lesions common to colorectal liver metastases (CRLMs) are challenging for convolutional neural network (CNN) segmentation models, especially when we have a wide range of slice thicknesses in the computed tomography (CT) scans. Slice thick
Externí odkaz:
http://arxiv.org/abs/2308.15932
Statistical techniques are needed to analyse data structures with complex dependencies such that clinically useful information can be extracted. Individual-specific networks, which capture dependencies in complex biological systems, are often summari
Externí odkaz:
http://arxiv.org/abs/2308.15365
Autor:
Simpson, Eric L.1, Bissonnette, Robert2, Chiesa Fuxench, Zelma C.3, Kallender, Howard4, Sturm, Daniel4, Ren, Haobo4, Stein Gold, Linda F.5 LSTEIN1@hfhs.org
Publikováno v:
Journal of Dermatological Treatment. Dec2024, Vol. 35 Issue 1, p1-10. 10p.
Autor:
Rebecca E. Hacker, Hedda Meadan
Publikováno v:
Research and Practice for Persons with Severe Disabilities. 45:212-214
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f9d4cc8df31d31650e73e3ee9af097f
https://doi.org/10.1177/1540796920907342
https://doi.org/10.1177/1540796920907342