D
David Snead
Researcher at University Hospitals Coventry and Warwickshire NHS Trust
Publications - 124
Citations - 5396
David Snead is an academic researcher from University Hospitals Coventry and Warwickshire NHS Trust. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 29, co-authored 110 publications receiving 3827 citations. Previous affiliations of David Snead include Bristol Royal Infirmary & University Hospital Coventry.
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Journal ArticleDOI
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
Korsuk Sirinukunwattana,Shan E Ahmed Raza,Yee-Wah Tsang,David Snead,Ian A. Cree,Nasir M. Rajpoot +5 more
TL;DR: A Spatially Constrained Convolutional Neural Network (SC-CNN) to perform nucleus detection and a novel Neighboring Ensemble Predictor (NEP) coupled with CNN to more accurately predict the class label of detected cell nuclei are proposed.
Journal ArticleDOI
Gland segmentation in colon histology images: The GlaS challenge contest
Korsuk Sirinukunwattana,Josien P. W. Pluim,Hao Chen,Xiaojuan Qi,Pheng-Ann Heng,Yun Bo Guo,Li Yang Wang,Bogdan J. Matuszewski,Elia Bruni,Urko Sanchez,Anton Böhm,Olaf Ronneberger,Bassem Ben Cheikh,Daniel Racoceanu,Philipp Kainz,Philipp Kainz,Michael Pfeiffer,Martin Urschler,David Snead,Nasir M. Rajpoot +19 more
TL;DR: An overview to the Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at MICCAI'2015 is provided, along with the method descriptions and evaluation results from the top performing methods.
Journal ArticleDOI
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images.
Simon Graham,Hao Chen,Jevgenij Gamper,Qi Dou,Pheng-Ann Heng,David Snead,Yee-Wah Tsang,Nasir M. Rajpoot +7 more
TL;DR: A fully convolutional neural network is proposed that counters the loss of information caused by max‐pooling by re‐introducing the original image at multiple points within the network, and introduces random transformations during test time for an enhanced segmentation result that simultaneously generates an uncertainty map, highlighting areas of ambiguity.
Journal ArticleDOI
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images
TL;DR: The proposed Random Polygons Model (RPM) treats each glandular structure in an image as a polygon made of a random number of vertices, where the vertices represent approximate locations of epithelial nuclei.
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Adiponectin and resistin in human cerebrospinal fluid and expression of adiponectin receptors in the human hypothalamus.
Katarina Kos,Alison L. Harte,Nancy F. da Silva,Anton B. Tonchev,Georgi Chaldakov,Sean James,David Snead,Barbara Hoggart,J. P. O'Hare,Philip G. McTernan,Sudhesh Kumar +10 more
TL;DR: The CSF entry of adiponectin and leptin in women appears to be impaired in obesity, and immunostaining established AdipR1 and -2 in the hypothalamus and increasedAdipR2 expression in the paraventricular nucleus, which is involved in energy regulation.