142 documents found, page 1 of 15
Design optimization of medical robotic systems based on task performance metric...
Oliveira, Bruno; Morais, Pedro André Gonçalves; Torres, Helena R.; Fonseca, Jaime C.; Vilaça, João L.While designing an end-effector tool for a specific task using an already available robotic arm is a common strategy for developing robot-based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel ...
Design optimization of medical robotic systems based on task performance metric...
Bruno, Oliveira; Morais, Pereira; Torres, Helena H.; Fonseca, Jaime C.; Vilaça, João L.While designing an end‐effector tool for a specific task using an already available robotic arm is a common strategy for developing robot‐based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel ...
Dual consistency loss for contour-aware segmentation in medical images
Torres, Helena R.; Oliveira, Bruno; Fonseca, Jaime C.; Morais, Pedro André Gonçalves; Vilaça, João L.Medical image segmentation is a paramount task for several clinical applications, namely for the diagnosis of pathologies, for treatment planning, and for aiding image-guided surgeries. With the development of deep learning, Convolutional Neural Networks (CNN) have become the state-of-the-art for medical image segmentation. However, issues are still raised concerning the precise object boundary delineation, sin...
Deep learning networks for breast lesion classification in ultrasound images: a...
Ferreira, Margarida R.; Torres, Helena R.; Oliveira, Bruno; Araújo, Augusto R. V. F. de; Morais, Pedro; Novais, Paulo; Vilaça, João L.Accurate lesion classification as benign or malignant in breast ultrasound (BUS) images is a critical task that requires experienced radiologists and has many challenges, such as poor image quality, artifacts, and high lesion variability. Thus, automatic lesion classification may aid professionals in breast cancer diagnosis. In this scope, computer-aided diagnosis systems have been proposed to assist in medical...
A multi-task convolutional neural network for classification and segmentation o...
Oliveira, Bruno; Torres, Helena R; Morais, Pedro; Veloso, Fernando; Baptista, António L.; Fonseca, Jaime C.; Vilaça, João L.Chronic Venous Disorders (CVD) of the lower limbs are one of the most prevalent medical conditions, affecting 35% of adults in Europe and North America. Due to the exponential growth of the aging population and the worsening of CVD with age, it is expected that the healthcare costs and the resources needed for the treatment of CVD will increase in the coming years. The early diagnosis of CVD is fundamental in t...
Augmented reality-assisted ultrasound breast biopsy
Costa, Nuno; Ferreira, Luís; Araújo, Augusto R. V. F. de; Oliveira, Bruno; Torres, Helena Daniela Ribeiro; Morais, Pedro; Alves, Victor; Vilaça, João L.Breast cancer is the most prevalent cancer in the world and the fifth-leading cause of cancer-related death. Treatment is effective in the early stages. Thus, a need to screen considerable portions of the population is crucial. When the screening procedure uncovers a suspect lesion, a biopsy is performed to assess its potential for malignancy. This procedure is usually performed using real-time Ultrasound (US) ...
Augmented synthetic dataset with structured light to develop Ai-based methods f...
Duarte, Bruno; Oliveira, Bruno; Torres, Helena R.; Morais, Pedro; Fonseca, Jaime C.; Vilaça, João L.Breast interventions are common healthcare procedures that nor mally require experienced professionals, expensive setups, and high execution times. With the evolution of robot-assisted technologies and image analysis algorithms, new methodologies can be imple mented to facilitate the interventions in this area. To enable the introduction of robot-assisted approaches for breast procedures, strategies with real-t...
Automated segmentation of normal and diseased coronary arteries – The ASOCA cha...
Gharleghi, Ramtin; Adikari, Dona; Ellenberger, Katy; Ooi, Sze-Yuan; Ellis, Chris; Chen, Chung-Ming; Gao Ruochen Gao, Ruochen; He, YutingCardiovascular disease is a major cause of death worldwide. Computed Tomography Coronary Angiography (CTCA) is a non-invasive method used to evaluate coronary artery disease, as well as evaluating and reconstructing heart and coronary vessel structures. Reconstructed models have a wide array of for educational, training and research applications such as the study of diseased and non-diseased coronary anatomy, m...
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT L...
R. Roth, Holger; Xu, Ziyue; Tor-Díez, Carlos; Sanchez Jacob, Ramon; Zember, Jonathan; Molto, Jose; Li, Wenqi; Xu, Sheng; Turkbey, Baris; Turkbey, EvrimArtificial intelligence (AI) methods for the automatic detection and quantification of COVID-19 lesions in chest computed tomography (CT) might play an important role in the monitoring and management of the disease. We organized an international challenge and competition for the development and comparison of AI algorithms for this task, which we supported with public data and state-of-the-art benchmark methods....
Characterization of the Workspace and Limits of Operation of Laser Treatments f...
Oliveira, Bruno; Morais, Pedro; Torres, Helena R.; Fonseca, Jaime C.; Vilaça, João L.; Baptista, António L.The increase of the aging population brings numerous challenges to health and aesthetic segments. Here, the use of laser therapy for dermatology is expected to increase since it allows for non-invasive and infection-free treatments. However, existing laser devices require doctors’ manually handling and visually inspecting the skin. As such, the treatment outcome is dependent on the user’s expertise, which frequ...