[HTML][HTML] Multi-input dual-stream capsule network for improved lung and colon cancer classification

M Ali, R Ali - Diagnostics, 2021 - mdpi.com
Lung and colon cancers are two of the most common causes of death and morbidity in
humans. One of the most important aspects of appropriate treatment is the histopathological …

Robustness fine-tuning deep learning model for cancers diagnosis based on histopathology image analysis

SA El-Ghany, M Azad, M Elmogy - Diagnostics, 2023 - mdpi.com
Histopathology is the most accurate way to diagnose cancer and identify prognostic and
therapeutic targets. The likelihood of survival is significantly increased by early cancer …

[HTML][HTML] On urinary bladder cancer diagnosis: Utilization of deep convolutional generative adversarial networks for data augmentation

I Lorencin, S Baressi Šegota, N Anđelić, V Mrzljak… - Biology, 2021 - mdpi.com
Urinary bladder cancer is one of the most common urinary tract cancers. Standard diagnosis
procedure can be invasive and time-consuming. For these reasons, procedure called optical …

[HTML][HTML] Automatic evaluation of the lung condition of COVID-19 patients using X-ray images and convolutional neural networks

I Lorencin, S Baressi Šegota, N Anđelić… - Journal of Personalized …, 2021 - mdpi.com
COVID-19 represents one of the greatest challenges in modern history. Its impact is most
noticeable in the health care system, mostly due to the accelerated and increased influx of …

The registration of visible and thermal images through multi-objective optimization

J Bin, H Zhang, Z Bahrami, R Zhang, H Liu, E Blasch… - Information …, 2023 - Elsevier
Multimodal imaging with visible and thermal sensors attracts much attention due to its
robustness under challenging illumination conditions. Due to spectral differences, the visible …

Predicting greenhouse gas fluxes in coastal salt marshes using artificial neural networks

MT Zaki, OI Abdul-Aziz - Wetlands, 2022 - Springer
Prediction of wetland greenhouse gas (GHG) fluxes has been a challenging undertaking.
Machine learning techniques such as the artificial neural network (ANN) has a strong …

Energy and Exergy Analysis of Waste Heat Recovery Closed-Cycle Gas Turbine System while Operating with Different Medium

V Mrzljak, J Kudláček, S Baressi Šegota… - Pomorski …, 2021 - hrcak.srce.hr
Sažetak In this paper is performed energy and exergy analysis of waste heat recovery
closed-cycle gas turbine system. Analyzed system can use waste heat from various main …

Automated grading of oral squamous cell carcinoma into multiple classes using deep learning methods

J Musulin, D Štifanić, A Zulijani… - 2021 IEEE 21st …, 2021 - ieeexplore.ieee.org
The diagnosis of oral squamous cell carcinoma is based on a histopathological
examination, which is still the most reliable way of identifying oral cancer despite its high …

Thermodynamic Analysis of a Condensate Heating System from a Marine Steam Propulsion Plant with Steam Reheating

V Mrzljak, I Lorencin, N Anđelić, Z Car - Journal of Marine Science and …, 2021 - Springer
The thermodynamic (energy and exergy) analysis of a condensate heating system, its
segments, and components from a marine steam propulsion plant with steam reheating is …

[PDF][PDF] Prediction of robot grasp robustness using artificial intelligence algorithms

SB Šegota, N Anđelić, Z Car, M Šercer - Technical Gazette, 2022 - hrcak.srce.hr
Predicting the quality of the robot end-effector grasp quality during an industrial robot
manipulator operation can be an extremely complex task. As is often the case with such …