70 documents found, page 1 of 7
Angle assessment for upper limb rehabilitation: a novel light detection and ran...
Klein, Luan C.; Chellal, Arezki Abderrahim; Grilo, Vinicius F.S.B.; Braun, João; Gonçalves, José; Pacheco, Maria F.; Fernandes, Florbela P.The accurate measurement of joint angles during patient rehabilitation is crucial for informed decision making by physiotherapists. Presently, visual inspection stands as one of the prevalent methods for angle assessment. Although it could appear the most straightforward way to assess the angles, it presents a problem related to the high susceptibility to error in the angle estimation. In light of this, this st...
Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Re...
Klein, Luan C.; Chellal, Arezki Abderrahim; Grilo, Vinicius F.S.B.; Gonçalves, José; Pacheco, Maria F.; Fernandes, Florbela P.; Monteiro, Fernando C.Angle assessment is crucial in rehabilitation and significantly influences physiotherapists’ decision-making. Although visual inspection is commonly used, it is known to be approximate. This work aims to be a preliminary study about using the AI image-based to assess upper limb joint angles. Two main frameworks were evaluated: MediaPipe and Yolo v7. The study was performed with 28 participants performing four u...
An Evaluation of Image Preprocessing in Skin Lesions Detection
Silva, Giuliana Martins; Lazzaretti, André E.; Monteiro, Fernando C.This study aims to evaluate the impact of image preprocessing techniques on the performance of Convolutional Neural Networks (CNNs) in the task of skin lesion classification. The study is made on the ISIC 2017 dataset, a widely used resource in skin cancer diagnosis research. Thirteen popular CNN models were trained using transfer learning. An ensemble strategy was also employed to generate a final diagnosis ba...
Diabetic retinopathy grading using blended deep learning
Monteiro, Fernando C.Diabetic retinopathy is a complication of diabetes that is mainly caused by the damage of the blood vessels located in the retina. Retinal screening contributes to early detection and treatment of diabetic retinopathy. DR has five stages, namely healthy, mild, moderate, severe and proliferative diabetic retinopathy. Computer-Aided diagnosis approaches are needed to allow an early de-Tection and treatment. Sever...
An evaluation of image preprocessing in skin lesions detection
Silva, Giuliana; Lazzaretti, André; Monteiro, Fernando C.This study aims to evaluate the impact of image preprocessing techniques on the performance of Convolutional Neural Network (CNNs) in the task of skin lesion classification. The study is made on the ISIC 2017 dataset, a widely used resource in skin cancer diagnosis research. Thirteen popular CNN models were trained using transfer learning. An ensemble strategy was also employed to generate a final diagnosis bas...
Assessing the reliability of AI-based angle detection for shoulder and elbow re...
Klein, Luan; Chellal, Arezki Abderrahim; Grilo, Vinicius; Gonçalves, José; Pacheco, Maria F.; Fernandes, Florbela P.; Monteiro, Fernando C.; Lima, JoséAngle assessment is crucial in rehabilitation and significantly influences physiotherapistsŠ decisionmaking. Although visual inspection is commonly used, it is known to be approximate. This preliminary study aims to integrate and evaluate AI image-based approaches for assessing upper-limb angles. The study involved 28 participants performing four different rotational joints movement in the shoulder and elbow co...
Diabetic retinopathy grading using blended deep learning
Monteiro, Fernando C.Diabetic retinopathy is a complication of diabetes that is mainly caused by the damage of the blood vessels located in the retina. Retinal screening contributes to early detection and treatment of diabetic retinopathy. DR has five stages, namely healthy, mild, moderate, severe and proliferative diabetic retinopathy. Computer-aided diagnosis approaches are needed to allow an early detection and treatment. Severa...
Pollen grain recognition through deep learning convolutional neural networks
Monteiro, Fernando C.Palynology is the study of pollen, in particular, the pollen’s grain type, but the tasks of classification and counting of pollen grains are highly skilled and laborious. Despite the efforts made during the last decades, the manual classification process is still predominant. One of the reasons for that is the small number of taxa usually used in previous approaches. In this paper, we propose a new method to au...
SmartHealth: a robotic control software for upper limb rehabilitation
Chellal, Arezki Abderrahim; Lima, José; Gonçalves, José; Fernandes, Florbela P.; Pacheco, Maria F.; Monteiro, Fernando C.; Valente, AntónioThe proposed work was developed under the Smart Health project, which aims to advance the upper body rehabilitation by offering a robotic alternative to reduce the limitations of physical therapy, providing more intensive and personalized therapy sessions for patients. The use of robots allows on the one hand to relieve therapists from laborious and repetitive tasks, and on the other hand to relieve rehabilitat...
Is diabetic retinopathy grading biased by imbalanced datasets?
Monteiro, Fernando C.; Rufino, JoséDiabetic retinopathy (DR) is one of the most severe complications of diabetes and the leading cause of vision loss and even blindness. Retinal screening contributes to early detection and treatment of diabetic retinopathy. This eye disease has five stages, namely normal, mild, moderate, severe and proliferative diabetic retinopathy. Usually, highly trained ophthalmologists are capable of manually identifying th...