Leisa J. Armstrong

23 papers B 1C 6Misc 2Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Application of Histopathology Image Analysis Using Deep Learning Networks.
Hum. Centric Intell. Syst.
Md Shamim Hossain, Leisa J. Armstrong, David M. Cook, Pauline Zaenker
2023 J jnl
The segmentation of nuclei from histopathology images with synthetic data.
Signal Image Video Process.
Md Shamim Hossain, Leisa J. Armstrong, Jumana Abu-Khalaf, David M. Cook
2021 Misc conf
Overlapping Cell Nuclei Segmentation in Digital Histology Images using Intensity-based Contours.
DICTA
Md Shamim Hossain, Leisa J. Armstrong, Jumana Abu-Khalaf, David M. Cook, Pauline Zaenker
2020 J jnl
Detecting deviations from activities of daily living routines using kinect depth maps and power consumption data.
J. Ambient Intell. Humaniz. Comput.
Hossein Pazhoumand-Dar, Leisa J. Armstrong, Amiya Kumar Tripathy
2017 C conf
Automatic Identification of Malaria Using Image Processing and Artificial Neural Network.
ISDA
Mahendra Kanojia, Niketa Gandhi, Leisa J. Armstrong, Pranali Pednekar
2017 C conf
Characterising the Impact of Drought on Jowar (Sorghum spp) Crop Yield Using Bayesian Networks.
ISDA
Shubhangi S. Wankhede, Leisa J. Armstrong
2017 C conf
Fingerprint Based Gender Identification Using Digital Image Processing and Artificial Neural Network.
ISDA
Mahendra Kanojia, Niketa Gandhi, Leisa J. Armstrong, Chetna Suthar
2017 C conf
Indian Mobile Agricultural Services Using Big Data and Internet of Things (IoT).
ISDA
Pallavi Chatuphale, Leisa J. Armstrong
2016 — conf
A Comprehensive Analysis: Automated Ovarian Tissue Detection Using Type P63 Pathology Color Images.
MLDM
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 — conf
An automated approach to detect human ovarian tissues using type P63 counter stained histopathology digitized color images.
BHI
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 — conf
Assessing impact of seasonal rainfall on rice crop yield of Rajasthan, India using association rule mining.
ICACCI
Niketa Gandhi, Leisa J. Armstrong
2016 — conf
Designing a multilanguage blended learning system for Thai agricultural science students.
TALE
Pornchai Taechatanasat, Leisa J. Armstrong, Prachyanun Nilsook
2016 — conf
PredictingRice crop yield using Bayesian networks.
ICACCI
Niketa Gandhi, Leisa J. Armstrong, Owaiz Petkar
2016 — conf
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis.
MDA
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 J jnl
Type P63 Digitized Color Images Performs Better Identification for Ovarian Tissue Analysis.
Trans. Mass Data Anal. Images Signals
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 — conf
Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
AMDO
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 C conf
Type P63 Non-counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis.
IV
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2016 C conf
Type P63 digitized color images performs better identification for ovarian reproductive tissue analysis.
IPAS
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2015 B conf
An Automated Detection Process to Detect Ovarian Tissues Using Type P63 Digitized Color Images.
ICTAI
T. M. Shahriar Sazzad, Leisa J. Armstrong, Amiya Kumar Tripathy
2010 J jnl
An eAgriculture-Based Decision Support Framework for Information Dissemination.
Int. J. Hum. Cap. Inf. Technol. Prof.
Leisa J. Armstrong, Dean Diepeveen, Khumphicha Tantisantisom
2009 — conf
Selecting Areas for Land Use Change in a Catchment.
IICAI
Neil Dunstan, Leisa J. Armstrong, Dean Diepeveen
2007 Misc conf
The application of data mining techniques to characterize agricultural soil profiles.
AusDM
Leisa J. Armstrong, Dean Diepeveen, Rowan Maddern
2004 — conf
Securing Web Services with XML aware Digital Signatures.
AISM
Sabbir Ahmed, Leisa J. Armstrong