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Cancers
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July 14, 2023
Development of Symbolic Expressions Ensemble for Breast Cancer Type Classification Using Genetic Programming Symbolic Classifier and Decision Tree Classifier
Nikola Anđelić, Sandi Baressi Šegota
Biology
|
September 4, 2025
Explainable AI for Oral Cancer Diagnosis: Multiclass Classification of Histopathology Images and Grad-CAM Visualization
Jelena Štifanić, Daniel Štifanić, Nikola Anđelić, et al.
Artificial Intelligence in Medicine
|
January 26, 2020
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
Ivan Lorencin, Nikola Anđelić, Josip Španjol, et al.
Sensors (Basel, Switzerland)
|
January 8, 2023
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Computational and Mathematical Methods in Medicine
|
June 23, 2020
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron
Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, et al.
Health Informatics Journal
|
January 18, 2021
Estimation of COVID-19 epidemic curves using genetic programming algorithm
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology
|
March 3, 2021
On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
International Journal of Environmental Research and Public Health
|
January 27, 2021
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology
|
November 27, 2021
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach
Sandi Baressi Šegota, Ivan Lorencin, Klara Smolić, et al.
Journal of Personalized Medicine
|
January 7, 2021
Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
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Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Cancers
|
July 14, 2023
Development of Symbolic Expressions Ensemble for Breast Cancer Type Classification Using Genetic Programming Symbolic Classifier and Decision Tree Classifier
Nikola Anđelić, Sandi Baressi Šegota
Biology
|
September 4, 2025
Explainable AI for Oral Cancer Diagnosis: Multiclass Classification of Histopathology Images and Grad-CAM Visualization
Jelena Štifanić, Daniel Štifanić, Nikola Anđelić, et al.
Artificial Intelligence in Medicine
|
January 26, 2020
Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis
Ivan Lorencin, Nikola Anđelić, Josip Španjol, et al.
Sensors (Basel, Switzerland)
|
January 8, 2023
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Computational and Mathematical Methods in Medicine
|
June 23, 2020
Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron
Zlatan Car, Sandi Baressi Šegota, Nikola Anđelić, et al.
Health Informatics Journal
|
January 18, 2021
Estimation of COVID-19 epidemic curves using genetic programming algorithm
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology
|
March 3, 2021
On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
International Journal of Environmental Research and Public Health
|
January 27, 2021
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, et al.
Biology
|
November 27, 2021
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach
Sandi Baressi Šegota, Ivan Lorencin, Klara Smolić, et al.
Journal of Personalized Medicine
|
January 7, 2021
Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, et al.
Page
of 2