Shelda Sajeev

According to our database, Shelda Sajeev authored at least 10 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Evolutionary Population Dynamic Mechanisms for the Harmony Search Algorithm.

Seyedeh Zahra Mirjalili, Shelda Sajeev, Ratna Saha, Nima Khodadadi, Seyed Mohammad Mirjalili, Seyedali Mirjalili

Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, 2022

2021

Classifying infective keratitis using a deep learning approach.

Shelda Sajeev, Mallika Prem Senthil

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

2019

Deep Learning to Improve Heart Disease Risk Prediction.

Shelda Sajeev, Anthony J. Maeder, Stephanie Champion, Alline M. R. Beleigoli, Cheng Ton, Xianglong Kong, Minglei Shu

Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting, 2019

Graph Modeling for Identifying Breast Tumor Located in Dense Background of a Mammogram.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Cardiovascular Risk Prediction Models: A Scoping Review.

Shelda Sajeev, Anthony J. Maeder

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Superpixel texture analysis for classification of breast masses in dense background.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

IET Comput. Vis., 2018

Superpixel pattern graphs for identifying breast mass ROIs in dense background: a preliminary study.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

Structured Micro-Pattern Based LBP Features for Classification of Masses in Dense Breasts.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016

Improving Breast Mass Segmentation in Local Dense Background: An Entropy Based Optimization of Statistical Region Merging Method.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

Proceedings of the Breast Imaging, 2016

2015

Segmentation of Breast Masses in Local Dense Background Using Adaptive Clip Limit-CLAHE.

Shelda Sajeev, Mariusz Bajger, Gobert N. Lee

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015