Zobrazeno 1 - 10
of 3 414
pro vyhledávání: '"Stonehouse, A."'
Image segmentation is a crucial task in computer vision, with wide-ranging applications in industry. The Segment Anything Model (SAM) has recently attracted intensive attention; however, its application in industrial inspection, particularly for segm
Externí odkaz:
http://arxiv.org/abs/2409.09530
In this paper, we propose a No-Reference Image Quality Assessment (NRIQA) guided cut-off point selection (CPS) strategy to enhance the performance of a fine-grained classification system. Scores given by existing NRIQA methods on the same image may v
Externí odkaz:
http://arxiv.org/abs/2405.05742
In the realm of practical fine-grained visual classification applications rooted in deep learning, a common scenario involves training a model using a pre-existing dataset. Subsequently, a new dataset becomes available, prompting the desire to make a
Externí odkaz:
http://arxiv.org/abs/2405.05853
Autor:
Peter Truong, Sylvie Shen, Swapna Joshi, Md Imtiazul Islam, Ling Zhong, Mark J. Raftery, Ali Afrasiabi, Hamid Alinejad-Rokny, Mary Nguyen, Xiaoheng Zou, Golam Sarower Bhuyan, Chowdhury H. Sarowar, Elaheh S. Ghodousi, Olivia Stonehouse, Sara Mohamed, Cara E. Toscan, Patrick Connerty, Purvi M. Kakadia, Stefan K. Bohlander, Katharine A. Michie, Jonas Larsson, Richard B. Lock, Carl R. Walkley, Julie A. I. Thoms, Christopher J. Jolly, John E. Pimanda
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Hypomethylating agents (HMAs) are frontline therapies for Myelodysplastic Neoplasms (MDS) and Acute Myeloid Leukemia (AML). However, acquired resistance and treatment failure are commonplace. To address this, we perform a genome-wide CRISPR-
Externí odkaz:
https://doaj.org/article/73815292edce4c1d9476e3fd55ac41f7
Publikováno v:
Clinical and Experimental Dental Research, Vol 10, Iss 6, Pp n/a-n/a (2024)
Abstract Objectives Aberrant facial growth in individuals affected by orofacial clefts can result in maxillary retrusion and class III malocclusion, with a proportion requiring surgical correction at cessation of growth. This study aimed to evaluate
Externí odkaz:
https://doaj.org/article/2b4acfc915a84f00b355920df04b9bf4
Autor:
Wen, Xinyue, Quintano, Vanesa, Xie, Zongli, Ren, Xiaojun, Stonehouse, Gregory, Bustamante, Heriberto, Jin, Xiaoheng, Joshi, Rakesh
Publikováno v:
In Carbon October 2024 229
Autor:
Stonehouse, Olivia J., Biben, Christine, Weber, Tom S., Garnham, Alexandra, Fennell, Katie A., Farley, Alison, Terreaux, Antoine F., Alexander, Warren S., Dawson, Mark A., Naik, Shalin H., Taoudi, Samir
Publikováno v:
In Stem Cell Reports 13 August 2024 19(8):1189-1204
Publikováno v:
In Journal of the Academy of Nutrition and Dietetics February 2024 124(2):233-248
Autor:
Jackson, Philip T., Bonner, Stephen, Jia, Ning, Holder, Christopher, Stonehouse, Jon, Obara, Boguslaw
We show that correlations between the camera used to acquire an image and the class label of that image can be exploited by convolutional neural networks (CNN), resulting in a model that "cheats" at an image classification task by recognizing which c
Externí odkaz:
http://arxiv.org/abs/2007.08574
Autor:
Stonehouse, Joanne C1 (AUTHOR) jslate@sheffield.ac.uk, Spurgin, Lewis G2 (AUTHOR), Laine, Veronika N3,4 (AUTHOR), Bosse, Mirte5,6 (AUTHOR), Consortium, The Great Tit HapMap (AUTHOR), Groenen, Martien A M5 (AUTHOR), Oers, Kees van3 (AUTHOR), Sheldon, Ben C7 (AUTHOR), Visser, Marcel E3 (AUTHOR), Slate, Jon1 (AUTHOR)
Publikováno v:
Evolution Letters. Feb2024, Vol. 8 Issue 1, p18-28. 11p.