Browsing by Author "Rajpoot, Nasir M."
Now showing items 1-9 of 9
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Automatic detection of diseased tomato plants using thermal and stereo visible light images
( Public Library of Science , 2015 , Article)Accurate and timely detection of plant diseases can help mitigate the worldwide losses experienced by the horticulture and agriculture industries each year. Thermal imaging provides a fast and non-destructive way of scanning ... -
Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery
( Public Library of Science , 2014 , Article)Thermal imaging has been used in the past for remote detection of regions of canopy showing symptoms of stress, including water deficit stress. Stress indices derived from thermal images have been used as an indicator of ... -
Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics
( Public Library of Science , 2013 , Article)Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ... -
Cell phenotyping in multi-tag fluorescent bioimages
( Elsevier B.V. , 2014 , Article)Multi-tag bioimaging systems have recently emerged as powerful tools which provide spatiotemporal localization of several different proteins in the same tissue specimen. The analysis of such multivariate bioimages requires ... -
DiSWOP: A novel measure for cell-level protein network analysis in localized proteomics image data
( Oxford Journals , 2014 , Article)Motivation: New bioimaging techniques have recently been proposed to visualize the colocation or interaction of several proteins within individual cells, displaying the heterogeneity of neighbouring cells within the same ... -
Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)Detection and classification of cell nuclei in histopathology images of cancerous tissue stained with the standard hematoxylin and eosin stain is a challenging task due to cellular heterogeneity. Deep learning approaches ... -
A model of the spatial tumour heterogeneity in colorectal adenocarcinoma tissue
( PubMed Central , 2016 , Article)Background There have been great advancements in the field of digital pathology. The surge in development of analytical methods for such data makes it crucial to develop benchmark synthetic datasets for objectively ... -
Robust normalization protocols for multiplexed fluorescence bioimage analysis
( BioMed Central , 2016 , Article)The study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to use the ... -
Subcellular protein expression models for microsatellite instability in colorectal adenocarcinoma tissue images
( BioMed Central , 2016 , Article)Background New bioimaging techniques capable of visualising the co-location of numerous proteins within individual cells have been proposed to study tumour heterogeneity of neighbouring cells within the same tissue specimen. ...
