7 documents found, page 1 of 1
XAI Framework for Fall Detection in an AAL System
Messaoudi, Chaima; Kalbermatter, Rebeca B.; Lima, José; Pereira, Ana I.; Guessoum, Zahia; Kalbermatter, Rebeca B.The Ambient Assisted Living (AAL) systems are humancentered and designed to prioritize the needs of elderly individuals, providing them with assistance in case of emergencies or unexpected situations. These systems involve caregivers or selected individuals who can be alerted and provide the necessary help when needed. To ensure effective assistance, it is crucial for caregivers to understand the reasons behind...
Optimizing Olive Disease Classification Through Hybrid Machine Learning and Dee...
Mendes, João; Moso, Juliet; Berger, Guido; Lima, José; Costa, Lino; Guessoum, Zahia; Pereira, Ana I.Olive trees play a crucial role in the global agricultural landscape, serving as a primary source of olive oil production. However, olive trees are susceptible to several diseases, which can significantly impact yield and quality. This study addresses the challenge of improving the diagnosis of diseases in olive trees, specifically focusing on aculus olearius and Olive Peacock Spot diseases. Using a novel hybri...
Using a multi-agent system approach for microaneurysm detection in fundus images
Pereira, Carla; Veiga, Diana; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João Oliveira; Monteiro, João L.Objective Microaneurysms represent the first sign of diabetic retinopathy, and their detection is fundamental for the prevention of vision impairment. Despite several research attempts to develop an automated system to detect microaneurysms in fundus images, none has shown the level of performance required for clinical practice. We propose a new approach, based on a multi-agent system model, for microaneurysm s...
Blood vessel detection in fundus images by a multi-agent approach
Pereira, Carla; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João OliveiraThe segmentation of retinal blood vessels by digital color fundus images analysis is crucial for several medical diagnostic systems, such as the diabetic retinopathy early diagnosis. This pathology has been shown to be the most common cause of blindness among working age people in developed countries. Several interesting approaches have been done in segmenting the blood vessels by image processing techniques ap...
Small red lesions detection using a MAS approach
Pereira, Carla; Veiga, Diana; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João Oliveira; Monteiro, João L.Microaneurysms are the diabetic retinopathy rst sign and its early detection is crucial for blindness prevention. Several approaches can be found in literature for the automatic microaneurysm segmentation, but none of them has shown the required performance. In this study, a new approach is proposed based on an organization of agents enabling microaneurysms segmentation. This multiagent model is preceded by a p...
Retinal blood vessel segmentation by a MAS approach
Pereira, Carla; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João OliveiraRetinal blood vessels segmentation by color fundus images analysis has got huge importance for the diabetic retinopathy early diagnosis. Several interesting computational approaches have been done in this field, but none of them has shown the required performance due to the use of global approaches. Therefore, a new approach is proposed based on an organization of agents enabling vessels detection. This multi-a...
Using MAS to detect retinal blood vessels
Pereira, Carla; Mahdjoub, Jason; Guessoum, Zahia; Gonçalves, Luís; Ferreira, Manuel João OliveiraThe segmentation of retinal vasculature by color fundus images analysis is crucial for several medical diagnostic systems, such as the diabetic retinopathy early diagnosis. Several interesting approaches have been done in this field but the obtained results need to be improved. We propose therefore a new approach based on an organization of agents. This multi-agent approach is preceded by a preprocessing phase ...