3-D visualization for lung COVID-19 infection based on U-Net CNN segmentation
Covid-19 is still the attention of researchers in medical image analysis. Following the initial
respiratory diagnosis, a CT-scan examination will be performed. Segmentation of infection …
respiratory diagnosis, a CT-scan examination will be performed. Segmentation of infection …
3D Visualization for Lung Surface Images of Covid-19 Patients based on U-Net CNN Segmentation
FX Ferdinandus, EI Setiawan… - EMITTER …, 2022 - emitter2.pens.ac.id
The Covid-19 infection challenges medical staff to make rapid diagnoses of patients. In just
a few days, the Covid-19 virus infection could affect the performance of the lungs. On the …
a few days, the Covid-19 virus infection could affect the performance of the lungs. On the …
LS-Net: COVID-19 Lesion Segmentation from CT Image via Diffusion Probabilistic Model
A Shi, B Sheng, J Huang, J Sun, G Luo, C Han… - Computer Graphics …, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) ravaged the world in early 2020, causing
great harm to human health. However, there are several challenges to segment the infected …
great harm to human health. However, there are several challenges to segment the infected …
TelLungNet-Enabling Telemedicine Utilizing an Improved U-Net Lung Image Segmentation
RAM Rudro, A Alam, S Talukder… - … IEEE Conference on …, 2024 - ieeexplore.ieee.org
This study presents a novel approach to web-based telemedicine services by utilizing and
improving the U-Net deep learning architecture. Here we present a user-friendly web …
improving the U-Net deep learning architecture. Here we present a user-friendly web …
Semantic Segmentation of Computed Tomography Scan of Lungs
D Boodi, N Sudheer, AP Bidargaddi… - 2024 5th …, 2024 - ieeexplore.ieee.org
In medical imaging, segmentation is a crucial first step toward precise diagnosis and therapy
planning. In this context, lung examination using Computed Tomography (CT) scans is …
planning. In this context, lung examination using Computed Tomography (CT) scans is …
Predicting Location and Training Effectiveness (PLATE)
ER Bruenner - 2023 - digitalcommons.calpoly.edu
The scientific community has known for centuries that regular physical activity has numerous
physical and mental health benefits. In fact, the earliest records of organized exercise used …
physical and mental health benefits. In fact, the earliest records of organized exercise used …
Segmentación de tejido pulmonar cicatrizado usando machine learning para estudio de enfermedades intersticiales causadas por COVID-19
CA Sánchez Ocampo - 2024 - repositorio.uniandes.edu.co
Resumen en español Este proyecto se enfocó en la segmentación de tejido pulmonar
cicatrizado asociado al covid-19, presente en tomografías pulmonares en forma de …
cicatrizado asociado al covid-19, presente en tomografías pulmonares en forma de …