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- ArticleMay 2024
Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference
- Iván García-Aguilar,
- Rostyslav Zavoiko,
- Jose David Fernández-Rodríguez,
- Rafael Marcos Luque-Baena,
- Ezequiel López-Rubio
Bioinspired Systems for Translational Applications: From Robotics to Social EngineeringPages 44–54https://doi.org/10.1007/978-3-031-61137-7_5AbstractHistopathology currently serves as the standard for breast cancer diagnosis, but its manual execution demands time and expertise from pathologists. Artificial intelligence, particularly in digital pathology, has made significant strides, offering ...
- research-articleJanuary 2024
Clustering-Based Cancer Diagnosis Model for Whole Slide Image
ICBSP '23: Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal ProcessingPages 1–8https://doi.org/10.1145/3634875.3634876Automated classification of Whole Slide Images (WSIs) is of great significance for early diagnosis of cancer. Existing approaches are trained on a specific level which affects the analysis performance due to weak supervision of patches and variants. ...
- ArticleDecember 2023
Super Images - A New 2D Perspective on 3D Medical Imaging Analysis
Medical Image Understanding and AnalysisPages 325–337https://doi.org/10.1007/978-3-031-48593-0_24AbstractIn medical imaging analysis, deep learning has shown promising results. We frequently rely on volumetric data to segment medical images, necessitating the use of 3D architectures, which are commended for their capacity to capture interslice ...
- articleApril 2017
Hybrid Wrapper/Filter Gene Selection Using an Ensemble of Classifiers and PSO Algorithm
International Journal of Applied Metaheuristic Computing (IJAMC-IGI), Volume 8, Issue 2Pages 22–37https://doi.org/10.4018/IJAMC.2017040102Bioinformatics has grown very quickly for the last 20 years, and it will grow even faster in the future. One of the long-standing open challenges in bioinformatics is biomarker identification and cancer diagnosis from gene expression. In this paper, the ...
- ArticleJune 2014
Comparative Study of Classifiers for Prediction of Recurrence of Liver Cancer Using Binary Patterns
IEA/AIE 2014: Proceedings, Part II, of the 27th International Conference on Modern Advances in Applied Intelligence - Volume 8482Pages 234–239https://doi.org/10.1007/978-3-319-07467-2_25Liver cancer has a high likelihood of recurrence despite complete surgical resection and is thus known as an intractable cancer. If postoperative recurrence of cancer is correctly predicted for each patient as a form of personalized medicine, effective ...
- ArticleNovember 2013
Classification Based on Boolean Algebra and Its Application to the Prediction of Recurrence of Liver Cancer
ACPR '13: Proceedings of the 2013 2nd IAPR Asian Conference on Pattern RecognitionPages 838–841https://doi.org/10.1109/ACPR.2013.152Liver cancer has a high likelihood of recurrence despite complete surgical resection and is thus known as an intractable cancer. If postoperative recurrence of cancer is correctly predicted for each patient as a form of personalized medicine, effective ...
- ArticleDecember 2009
A Survey of Pattern Recognition Applications in Cancer Diagnosis
SOCPAR '09: Proceedings of the 2009 International Conference of Soft Computing and Pattern RecognitionPages 448–453https://doi.org/10.1109/SoCPaR.2009.93In this paper, some of the image processing and pattern recognition methods that have been used on medical images for cancer diagnosis are reviewed. Previous studies on Artificial Neural Networks, Genetic Programming, and Wavelet Analysis are described ...
