Search Results - "Burrows, Liam"

Evaluation of a hybrid pipeline for automated segmentation of solid lesions based on mathematical algorithms and deep learning.

Authors: Burrows, Liam Chen, Ke Guo, Weihong et al.

Source: Scientific Reports. 8/20/2022, Vol. 12 Issue 1, p1-11. 11p.

Selective segmentation of a feature that has two distinct intensities.

Authors: Burrows, Liam Chen, Ke Torella, Francesco

Source: Journal of Algorithms & Computational Technology; 4/21/2021, Vol. 15, p1-16, 16p

Reproducible kernel Hilbert space based global and local image segmentation.

Authors: Burrows, Liam Guo, Weihong Chen, Ke et al.

Source: Inverse Problems & Imaging. Feb2021, Vol. 15 Issue 1, p1-25. 25p.

On two convex variational models and their iterative solutions for selective segmentation of images with intensity inhomogeneity.

Authors: Burrows, Liam Ke Chen Torella, Francesco

Source: Journal of Computational Mathematics & Computer Modeling with Applications. Dec2022, Vol. 1 Issue 2, p86-103. 18p.

On a Variational and Convex Model of the Blake-Zisserman Type for Segmentation of Low-Contrast and Piecewise Smooth Images.

Authors: Burrows, Liam Theljani, Anis Ke Chen

Source: Journal of Imaging; Nov2021, Vol. 7 Issue 11, p1-15, 15p

Variational and deep learning methods for selective segmentation

Authors: Burrows, Liam

URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.859213

A semi-automatic segmentation method for meningioma developed using a variational approach model.

Authors: Burrows L Patel J Islim AI et al.

Source: The neuroradiology journal [Neuroradiol J] 2024 Apr; Vol. 37 (2), pp. 199-205. Date of Electronic Publication: 2023 Dec 26.

Publication Type: Journal Article

Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 101295103 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2385-1996 (Electronic) Linking ISSN: 19714009 NLM ISO Abbreviation: Neuroradiol J Subsets: MEDLINE

Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma.

Authors: Burrows L Sculthorpe D Zhang H et al.

Source: Journal of pathology informatics [J Pathol Inform] 2023 Nov 19; Vol. 15, pp. 100351. Date of Electronic Publication: 2023 Nov 19 (Print Publication: 2024).

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101528849 Publication Model: eCollection Cited Medium: Print ISSN: 2229-5089 (Print) NLM ISO Abbreviation: J Pathol Inform Subsets: PubMed not MEDLINE