Tecnología Médica
Mapa TecMedTecnología Médica
Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance
26/07/2024 -
CONCLUSION: Fully automated four-chamber CMR is feasible, reproducible, and has the same real-world prognostic value as manual analysis. LV volumes by four-chamber segmentation were comparable to...
Automatic 3D reconstruction of vertebrae from orthogonal bi-planar radiographs
22/07/2024 -
When conducting spine-related diagnosis and surgery, the three-dimensional (3D) upright posture of the spine under natural weight bearing is of significant clinical value for physicians to analyze...
Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection
22/07/2024 -
This study proposes an innovative geometry of a microstrip sensor for high-resolution microwave imaging (MWI). The main intended application of the sensor is early detection of breast, lung, and...
Multicenter validation study for automated left ventricular ejection fraction assessment using a handheld ultrasound with artificial intelligence
12/07/2024 -
We sought to validate the ability of a novel handheld ultrasound device with an artificial intelligence program (AI-POCUS) that automatically assesses left ventricular ejection fraction (LVEF)....
Validation of a 3D-printed model of cryptoglandular perianal fistulas
12/07/2024 -
CONCLUSIONS: Our 3D-printed anatomical models of perianal fistulas are an accurate reflection of the MRI. Further research is needed to determine the added value of 3D-printed anatomical models in...
Spintronic devices for biomedical applications
12/07/2024 -
In the past decade, there has been a significant rise in the development of novel spintronic device architectures specifically designed to meet the demands of diverse biomedical applications....
Emerging paradigms in microwave imaging technology for biomedical applications: unleashing the power of artificial intelligence
12/07/2024 -
In recent years, microwave imaging (MWI) has emerged as a non-ionizing and cost-effective modality in healthcare, specifically within medical imaging. Concurrently, advances in artificial...
A retrospective study of deep learning generalization across two centers and multiple models of X-ray devices using COVID-19 chest-X rays
12/07/2024 -
Generalization of deep learning (DL) algorithms is critical for the secure implementation of computer-aided diagnosis systems in clinical practice. However, broad generalization remains to be a...
FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification
12/07/2024 -
Breast cancer is a type of disease that primarily affects the breast tissue, and it is crucial to achieve early diagnosis for successful treatment and recovery. In recent years, the residual...
Multispectral Imaging-Based System for Detecting Tissue Oxygen Saturation With Wound Segmentation for Monitoring Wound Healing
12/07/2024 -
Objective: Blood circulation is an important indicator of wound healing. In this study, a tissue oxygen saturation detecting (TOSD) system that is based on multispectral imaging (MSI) is proposed...
Electrical impedance tomography provides information of brain injury during total aortic arch replacement through its correlation with relative difference of neurological biomarkers
12/07/2024 -
Postoperative neurological dysfunction (PND) is one of the most common complications after a total aortic arch replacement (TAAR). Electrical impedance tomography (EIT) monitoring of cerebral...
Quantitative MRI at 7-Tesla reveals novel frontocortical myeloarchitecture anomalies in major depressive disorder
12/07/2024 -
Whereas meta-analytical data highlight abnormal frontocortical macrostructure (thickness/surface area/volume) in Major Depressive Disorder (MDD), the underlying microstructural processes remain...
Multimodal Medical Image Fusion Network Based on Target Information Enhancement
11/07/2024 -
Glioma is a kind of brain disease with high incidence, high recurrence rate, high mortality, and low cure rate. To obtain accurate diagnosis results of brain glioma, doctors need to manually...
Automated Segmentation of COVID-19 Lung Infections From Chest CT Images via 2.5-D Dual-Path Encoder With Multiscale Dynamic Weight Deep Supervision Mechanism
11/07/2024 -
Accurate segmentation of coronavirus disease 2019 (COVID-19)-infected lung areas from chest computed tomography (CT) scans is critical for COVID-19 diagnosis and prognosis evaluations. However,...
Low-intensity pulsed ultrasound improves symptoms in patients with Buerger disease: a double-blinded, randomized, and placebo-controlled study
11/07/2024 -
Here we report the effects of low-intensity pulsed ultrasound (LIPUS) on symptoms in peripheral arterial disease patients with Buerger disease. A double-blinded and randomized study with active...
Inadequate Data Augmentation with Convolutional Neural Network in Brain Electrical Impedance Tomography
11/07/2024 -
Electrical impedance tomography (EIT) is a potential technique for imaging intracranial hemorrhage. Generally, 16 electrodes are used in the brain EIT. In some situations, it may be not possible...
Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms
11/07/2024 -
Aortic dissections (ADs) are serious conditions of the main artery of the human body, where a tear in the inner layer of the aortic wall leads to the formation of a new blood flow channel, named...
CMUT as a Transmitter for Microbubble-Assisted Blood-Brain Barrier Opening
10/07/2024 -
Focused ultrasound (FUS) combined with microbubbles (MBs) has emerged as a promising strategy for transiently opening the blood-brain barrier (BBB) to enhance drug permeability in the brain....
Dual-Guided Prototype Alignment Network for Few-Shot Medical Image Segmentation
10/07/2024 -
Given the hurdles of limited data availability, annotation challenges, and constrained generalization capabilities in medical image segmentation, few-shot learning (FSL) has become a prominent...
Harnessing Multiple Level Features to Improve Segmentation Performance of Deep Neural Network: A Case Study in Magnetic Resonance Imaging of Nasopharyngeal Cancer
10/07/2024 -
The lesion area of cancer presents complex physiological structures, posing significant challenges for accurate segmentation, which is required in radiotherapy or chemo-radiotherapy. The existing...
FBENet: Feature-Level Boosting Ensemble Network for Hashimoto's Thyroiditis Ultrasound Image Classification
10/07/2024 -
Distinguishing Hashimoto's thyroiditis (HT) lesions from ordinary thyroid tissues is difficult with ultrasound images. Challenges in achieving high performance of HT ultrasound image...
