Leisa J. Armstrong

According to our database1, Leisa J. Armstrong authored at least 22 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Application of Histopathology Image Analysis Using Deep Learning Networks.
Hum. Centric Intell. Syst., September, 2024

2023
The segmentation of nuclei from histopathology images with synthetic data.
Signal Image Video Process., October, 2023

2021
Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data.
J. Ambient Intell. Humaniz. Comput., 2020

2017
Characterising the Impact of Drought on Jowar (Sorghum spp) Crop Yield Using Bayesian Networks.
Proceedings of the Intelligent Systems Design and Applications, 2017

Fingerprint Based Gender Identification Using Digital Image Processing and Artificial Neural Network.
Proceedings of the Intelligent Systems Design and Applications, 2017

Automatic Identification of Malaria Using Image Processing and Artificial Neural Network.
Proceedings of the Intelligent Systems Design and Applications, 2017

Indian Mobile Agricultural Services Using Big Data and Internet of Things (IoT).
Proceedings of the Intelligent Systems Design and Applications, 2017

2016
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis.
Trans. Mass Data Anal. Images Signals, 2016

Designing a multilanguage blended learning system for Thai agricultural science students.
Proceedings of the IEEE International Conference on Teaching, 2016

A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2016

Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
Proceedings of the 20th International Conference Information Visualisation, 2016

Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis.
Proceedings of the International Image Processing, Applications and Systems, 2016

PredictingRice crop yield using Bayesian networks.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016

Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
Proceedings of the Articulated Motion and Deformable Objects, 2016

2015
An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2010
An eAgriculture-Based Decision Support Framework for Information Dissemination.
Int. J. Hum. Cap. Inf. Technol. Prof., 2010

2009
Selecting Areas for Land Use Change in a Catchment.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009

2007
The application of data mining techniques to characterize agricultural soil profiles.
Proceedings of the Data Mining and Analytics 2007, 2007

2004
Securing Web Services with XML aware Digital Signatures.
Proceedings of the 2nd Australian Information Security Management Conference, 2004


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