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- research-articleApril 2023
Unsupervised neural networks as a support tool for pathology diagnosis in MALDI-MSI experiments: A case study on thyroid biopsies
- Marco S. Nobile,
- Giulia Capitoli,
- Virgil Sowirono,
- Francesca Clerici,
- Isabella Piga,
- Kirsten van Abeelen,
- Fulvio Magni,
- Fabio Pagni,
- Stefania Galimberti,
- Paolo Cazzaniga,
- Daniela Besozzi
Expert Systems with Applications: An International Journal (EXWA), Volume 215, Issue Chttps://doi.org/10.1016/j.eswa.2022.119296AbstractArtificial intelligence is getting a foothold in medicine for disease screening and diagnosis. While typical machine learning methods require large labeled datasets for training and validation, their application is limited in clinical ...
Highlights- Application of unsupervised learning for automated clustering of spectra profiles.
- ArticleDecember 2012
Bio-signal Processing Using Cartesian Genetic Programming Evolved Artificial Neural Network (CGPANN)
FIT '12: Proceedings of the 2012 10th International Conference on Frontiers of Information TechnologyPages 261–268https://doi.org/10.1109/FIT.2012.54The aim of this paper is to explore the application of Neuro-Evolutionary Techniques to the diagnosis of various diseases. We applied the evolutionary technique of Cartesian Genetic programming Evolved Artificial Neural Network (CG-PANN) for the ...
- ArticleOctober 2009
Approach of Neural Network to Diagnose Breast Cancer on three different Data Set
ARTCOM '09: Proceedings of the 2009 International Conference on Advances in Recent Technologies in Communication and ComputingPages 893–895https://doi.org/10.1109/ARTCom.2009.225This paper highlights on different neural networks approaches to solve breast cancer problem. Initially, we introduces problem with physician fatigue and severity of problem across world of taking decision of cancer cell is benign or malignant one. Next,...
- research-articleSeptember 2009
Computer-aided diagnosis of thyroid malignancy using an artificial immune system classification algorithm
- Konstantinos K. Delibasis,
- Pantelis A. Asvestas,
- George K. Matsopoulos,
- Emmanouil Zoulias,
- Sofia Tseleni-Balafouta
IEEE Transactions on Information Technology in Biomedicine (TITB), Volume 13, Issue 5Pages 680–686https://doi.org/10.1109/TITB.2008.926990The diagnosis of thyroid malignancy by fine needle aspiration (FNA) examination has been proven to show wide variations of sensitivity and specificity. This paper proposes the utilization of a computer-aided diagnosis system based on a supervised ...