Tecnología Médica
Mapa TecMedTecnología Médica
A review of nanorobots in the field of medicine: (history, applications, advantages, and disadvantages)
23/04/2024 -
Nanorobots have attracted attention as a novel approach in medicine, utilizing nanoscale and robotics technologies. These robots, with their small dimensions and the ability to move at the...
A New Approach for Effective Medical Deepfake Detection in Medical Images
23/04/2024 -
In today’s world, deepfake technology is being used to generate fake images, sounds, and videos from real images and sounds using deep learning and artificial intelligence techniques. It is...
Structure-Enhanced Unsupervised Domain Adaptation for CT Whole-Brain Segmentation
23/04/2024 -
Early and accurate identification of intracranial hemorrhage (ICH) is crucial for treatment, but the inherently low contrast resolution of CT imaging poses challenges in identification of specific...
X2V: 3D Organ Volume Reconstruction From a Planar X-Ray Image With Neural Implicit Methods
23/04/2024 -
In this work, an innovative approach is proposed for three-dimensional (3D) organ volume reconstruction from a single planar X-ray, namely X2V network. Such capability holds pivotal clinical...
Lesion Classification of Coronary Artery CTA Images Based on CBAM and Transfer Learning
23/04/2024 -
Classification of coronary artery stenosis is essential in assisting physicians in diagnosing cardiovascular diseases. However, due to the complexity of medical diagnosis and the confidentiality...
HLSNC-GAN:Medical Image Synthesis using Hinge Loss and Switchable Normalization in CycleGAN
23/04/2024 -
In the field of medical image analysis, MRI and CT, among other multimodal medical images, play crucial roles. To overcome the limitations of image acquisition, researchers have proposed medical...
Development of an Electrical Impedance Tomography Coupled Surgical Stapler for Tissue Characterization
16/04/2024 -
Objective: This study explores the feasibility of coupling Electrical Impedance Tomography (EIT) to a standard-of-care laparoscopic surgical stapler, stapler+EIT, with the long-term goal of...
Anthropomorphic Abdominal Aortic Aneurysm Artificial Circulatory System for Medical Device Testing: 3D Reconstruction from CT Scans
12/04/2024 -
Abdominal aortic aneurysm (AAA) is an irreversible balloon-like dilation of the abdominal aorta. Endovascular Aneurysm Repair (EVAR) is the main surgical treatment for AAA, which involves the...
Development of an Anthropomorphic Thorax Phantom for Emission Tomography Incorporating Blood Circulation
12/04/2024 -
As an extension of an existing phantom realization we propose a new anthropomorphic phantom that can also simulate organ motion but at the same time provides a realistic blood flow and blood...
MICE - Medical Image Contrast Enhancement
11/04/2024 -
Medical images are essential in pathological diagnosis, especially for tumors, osteoporosis, and cerebral hemorrhage. In addition to general medical diagnosis, medical images are used to guide...
Design of MEMS based Electric Sensor for Tomographic Applications
11/04/2024 -
The main motivation for this work is that most Indians who are involved in accidents or have other injuries will ignore minor cracks. Some days later, there will be severe effects from these, like...
Robotic Positioning in Percutaneous Transforaminal Endoscopic Discectomy Based on X-ray Image and DLT Algorithm
11/04/2024 -
Percutaneous transforaminal endoscopic discectomy (PTED) is a decompression surgery on patients with lumbar disc herniation and spinal canal stenosis in a minimally invasive environment, which...
Secure radiology image browsing tool improvised using Denoising Autoencoder with Convolutional Neural Network (DAECNN)
11/04/2024 -
Computers are now considered as the daily necessities for both mankind and medical science. A doctor examines a patient, with the physical interaction and then with all the reports like scans,...
Semantic Segmentation on Panoramic Dental X-Ray Images Using U-Net Architectures
09/04/2024 -
The field of medical image analysis is in a constant state of evolution, particularly in the challenging tasks of segmenting organs, diseases, and abnormalities. Therefore, in the realm of dental...
Enriching Chest Radiography Representations: Self-Supervised Learning With a Recalibrating and Importance Scaling
09/04/2024 -
Chest radiography (CXR) is a widely researched area in medical imaging processing due to its diagnostic utility in heart-related and thoracic diseases. However, the scarcity of labeled data poses...
Toward Head Computed Tomography Image Reconstruction Standardization With Deep-Learning-Assisted Automatic Detection
09/04/2024 -
Three-dimensional reconstruction of head computed tomography (CT) images elucidates the intricate spatial relationships of tissue structures, thereby assisting in accurate diagnosis. Nonetheless,...
DA-Net: A Dense Attention Reconstruction Network for Lung Electrical Impedance Tomography (EIT)
09/04/2024 -
To achieve accurate reconstruction of lung contour and lesion structure based on electrical impedance tomography (EIT), this study proposed a novel method named dense attention network (DA-Net), a...
MRSCFusion: Joint Residual Swin Transformer and Multiscale CNN for Unsupervised Multimodal Medical Image Fusion
09/04/2024 -
It is crucial to integrate the complementary information of multimodal medical images for enhancing the image quality in clinical diagnosis. Convolutional neural network (CNN)-based deep-learning...
A High-resolution Image Reconstruction Method of Lung nodules with B-spline based Whale Optimization Algorithm (B-WOA) for Electrical Impedance Tomography
09/04/2024 -
A B-spline based Whale Optimization Algorithm (B-WOA) is proposed to realize a high-resolution Electrical Impedance Tomography (EIT) image reconstruction of lung nodules. The method achieves the...
An Attention-Based Deep Learning Network for Predicting Platinum Resistance in Ovarian Cancer
09/04/2024 -
Ovarian cancer is one of the three most common types of gynecological cancer globally, with high-grade serous ovarian cancer being the most common and aggressive histological type. Guided...
Detection of Lung Tumors in CT Scan Images using Convolutional Neural Networks
09/04/2024 -
Changing the human being's lifestyle, has caused, or exacerbated many diseases. One of these diseases is cancer, and among all kind of cancers like, brain and pulmonary; lungs cancer is fatal....
