Výsledky vyhledávání - "Modaresi, Seyed"

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Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition

Autor: Modaresi, Seyed M. R., Osmani, Aomar, Razzazi, Mohammadreza, Chibani, Abdelghani

Internet of Things (IoT) devices generate heterogeneous data over time; and relying solely on individual data points is inadequate for accurate analysis. Segmentation is a common preprocessing step in many IoT applications, including IoT-based activi

Externí odkaz: http://arxiv.org/abs/2404.11742

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Boosting Medical Image Segmentation Performance with Adaptive Convolution Layer

Autor: Modaresi, Seyed M. R., Osmani, Aomar, Razzazi, Mohammadreza, Chibani, Abdelghani

Medical image segmentation plays a vital role in various clinical applications, enabling accurate delineation and analysis of anatomical structures or pathological regions. Traditional CNNs have achieved remarkable success in this field. However, the

Externí odkaz: http://arxiv.org/abs/2404.11361

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Multi-Modal Evaluation Approach for Medical Image Segmentation

Autor: Modaresi, Seyed M. R., Osmani, Aomar, Razzazi, Mohammadreza, Chibani, Abdelghani

Manual segmentation of medical images (e.g., segmenting tumors in CT scans) is a high-effort task that can be accelerated with machine learning techniques. However, selecting the right segmentation approach depends on the evaluation function, particu

Externí odkaz: http://arxiv.org/abs/2302.04135

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