24 citations · 47 across the 16 of their papers we have counts for
4 papers · 1 filter
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches
Konstantinos Pasvantis, Eftychios Protopapadakis
The application of deep learning models in medical diagnosis has showcased considerable efficacy in recent years. Nevertheless, a notable limitation involves the inherent lack of e…
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques
Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi +2
Diabetic foot ulcers (DFUs) constitute a serious complication for people with diabetes. The care of DFU patients can be substantially improved through self-management, in order to…
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
In this paper, we investigate the transferability limitations when using deep learning models, for semantic segmentation of pneumonia-infected areas in CT images. The proposed appr…
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos +3
Recent studies indicate that detecting radiographic patterns on CT scans can yield high sensitivity and specificity for Covid-19 localization. In this paper, we investigate the app…