Search Results - "Kalantzopoulos, Charalampos Ν."

ResQu-Net: Effective prostate’s peripheral zone segmentation leveraging the representational power of attention-based mechanisms by Zaridis, Dimitrios I., Mylona, Eugenia, Tachos, Nikolaos, Kalantzopoulos, Charalampos Ν., Marias, Kostas, Tsiknakis, Manolis, Matsopoulos, George K., Koutsouris, Dimitrios D., Fotiadis, Dimitrios I.

“…•We propose a novel Deep Learning model, namely the ResQu-Net, specifically tailored for Peripheral Zone Segmentation on T2W MR images.•Six DL architectures…”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Mylona, Eugenia, Zaridis, Dimitrios I., Kalantzopoulos, Charalampos Ν., Tachos, Nikolaos S., Regge, Daniele, Papanikolaou, Nikolaos, Tsiknakis, Manolis, Marias, Kostas, Fotiadis, Dimitrios I.

“…Objectives Radiomics-based analyses encompass multiple steps, leading to ambiguity regarding the optimal approaches for enhancing model performance. This study…”
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