An e-Health care services framework for the detection and classification of breast cancer in breast cytology images as an IoMT application
Authors:
- Sana Ullah KhanSKSana Ullah Khan
- Naveed IslamNINaveed Islam
- Zahoor JanZJZahoor Jan
- Ikram Ud DinIDIkram Ud Din
- Atif KhanAKAtif Khan
- Yasir FaheemYFYasir Faheem
- 1 September 2019
- journal article
- research article
- Published by Elsevier in Future Generation Computer Systems
- Vol. 98, 286-296
Abstract
No abstract availableKeywords
This publication has 25 references indexed in Scilit:
- Bayesian decision theory for support vector machines: Imbalance measurement and feature optimizationExpert Systems with Applications, 2011
- Quantitative Automated Image Analysis System with Automated Debris Filtering for the Detection of Breast Carcinoma CellsActa Cytologica, 2011
- Two coding based adaptive parallel co-genetic algorithm with double agents structureEngineering Applications of Artificial Intelligence, 2010
- A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selectionNeurocomputing, 2009
- Color measurement in L∗a∗b∗ units from RGB digital imagesFood Research International, 2006
- A GA-based feature selection and parameters optimizationfor support vector machinesExpert Systems with Applications, 2006
- Computer aided detection (CAD): an overviewCancer Imaging, 2005
- A divide-and-conquer method for multi-net classifiersPattern Analysis and Applications, 2003
- On combining classifiersIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998
- The random subspace method for constructing decision forestsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1998