Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...
Master’s thesis position (M.Sc. student) in Deep Learning for Healthcare.
White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...
The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. Numerous machine learning and ...
Introduction: Skin diseases significantly impact individuals' health and mental wellbeing. However, their classification remains challenging due to complex lesion characteristics, overlapping symptoms ...
Abstract: Hyperspectral remote sensing images exhibit high dimensionality, a large volume of data, and significant redundant information. Before using deep learning methods for ground monitoring and ...
1 Department of Computer Engineering (AI), University of Genova, Genova, Italy. 2 Department of Engineering Technology for Strategy and Security, University of Genova, Genova, Italy. Pneumonia remains ...
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