Tecnología Médica

Tecnología Médica

Lung Nodule Segmentation Algorithm With SMR-UNet
25/01/2024 - Accurate segmentation of lung nodules is of great significance for the early diagnosis of lung cancer. However, due to the diverse shapes and small sizes of lung nodules, lung nodule segmentation...
Attention Guided Policy Optimization for 3D Medical Image Registration
25/01/2024 - Learning-based image registration approaches typically learn to map from input images to a transformation matrix. Regarding the current deep-learning-based image rigid registration approaches...
A Novel Lung Nodule Accurate Segmentation of PET-CT Images Based on Convolutional Neural Network and Graph Model
25/01/2024 - Positron Emission Tomography and Computed Tomography(PET/CT) imaging could obtain functional metabolic feature information and anatomical localization information of the patient body. However,...
CNN approach for predicting survival outcome of patients with COVID-19
25/01/2024 - Coronavirus disease 2019 (COVID-19) has been challenged specifically with the new variant. The number of patients seeking treatment has increased significantly, putting tremendous pressure on...
Efficient Multi-Organ Segmentation from 3D Abdominal CT Images with Lightweight Network and Knowledge Distillation
25/01/2024 - Accurate segmentation of multiple abdominal organs from Computed Tomography (CT) images plays an important role in computer-aided diagnosis, treatment planning and follow-up. Currently, 3D...
Assessment of two entry points for S2 alar-iliac screw in a Japanese cohort using three-dimensional computed tomography scan
05/12/2023 - CONCLUSIONS: Insertion of S2AIS from the midpoint between the S1 and S2 dorsal foramen compared with the entry at distal and lateral to S1 foramen enables insertion of longer screws with low...
VET: Vasculature Extraction Transformer for Single-Scan Optical Coherence Tomography Angiography
21/11/2023 - Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality for analyzing skin microvasculature, enabling non-invasive diagnosis and treatment monitoring. Traditional OCTA...
Wavelet-improved Score-based Generative Model for Medical Imaging
21/11/2023 - The score-based generative model (SGM) has demonstrated remarkable performance in addressing challenging under-determined inverse problems in medical imaging. However, acquiring high-quality...
Handcrafted Features Can Boost Performance and Data-Efficiency for Deep Detection of Lung Nodules From CT Imaging
21/11/2023 - Convolutional neural networks have been widely used to detect and classify various objects and structures in computer vision and medical imaging. Access to large sets of annotated data is commonly...
Zero-shot Medical Image Translation via Frequency-Guided Diffusion Models
21/11/2023 - Recently, the diffusion model has emerged as a superior generative model that can produce high quality and realistic images. However, for medical image translation, the existing diffusion models...
An Explainable AI System for Medical Image Segmentation With Preserved Local Resolution: Mammogram Tumor Segmentation
21/11/2023 - Medical image segmentation aims to identify important or suspicious regions within medical images. However, many challenges are usually faced while developing networks for this type of analysis....
A Survey of Medical Visualization through the Lens of Metaphors
21/11/2023 - We provide an overview of metaphors that were used in medical visualization and related user interfaces. Metaphors are employed to translate concepts from a source domain to a target domain. The...
Detection of Chronic Myelogenous Leukemia Applying Support Vector Machine and Feature Extraction
21/11/2023 - This paper employs image processing and artificial intelligence to detect Chronic Myelogenous Leukemia (CML) in peripheral blood smear images. The study's objective is to create a prototype...
Sparrow Search Algorithm With Stacked Deep Learning Based Medical Image Analysis for Pancreatic Cancer Detection and Classification
21/11/2023 - Medical image analysis for pancreatic cancer (PC) classification and recognition is a vital domain of research and medical practices. PC is challenging to diagnose and treat; medical imaging...
Deep Learning Aided Intra-Frame Motion Correction for Low-Count Dynamic Brain PET
21/11/2023 - Data driven intra-frame motion correction of a dynamic brain PET scan (with each frame duration on the order of minutes) is often achieved through the co-registration of high-temporal-resolution...
Ophthalmic OCT Segmentation Method based on RCNN-Attention
21/11/2023 - As the growth of science and technology, ophthalmic optical coherence tomography (OCT) image segmentation plays a key role in ophthalmic diagnosis. To improve the accuracy of segmentation, the...
Supplemental Transmission Aided Attenuation Correction for Quantitative Cardiac PET
21/11/2023 - Quantitative PET attenuation correction (AC) for cardiac PET/CT and PET/MR is a challenging problem. We propose and evaluate an AC approach that uses coincidences from a relatively weak and...
Generating Chest X–ray Progression of Pneumonia using Conditional Cycle Generative Adversarial Networks
24/08/2023 - Pneumonia is an inflammation of the lungs caused by pathogens or autoimmune diseases, with about 450 million patients worldwide each year. Chest X–ray analysis is the most common...
Classification of Hemorrhage Using Priori Information of Electrode Arrangement With Electrical Impedance Tomography
24/08/2023 - Electrical impedance tomography is an emerging technique for brain disease detection. Generally, it requires that electrodes should be equidistantly placed around the detected region. However,...
BabelBrain: An Open-Source Application for Prospective Modeling of Transcranial Focused Ultrasound for Neuromodulation Applications.
24/08/2023 - BabelBrain is an open-source standalone graphic-user-interface application designed for studies of neuromodulation using transcranial focused ultrasound. It calculates the transmitted acoustic field...
Evaluating knowledge transfer in the neural network for medical images
24/08/2023 - The performance of deep learning models, such as convolutional neural networks (CNN)s, is highly dependent on the size of the dataset used for training. In low-data environments, it can be...