… LCOV-Net, a lightweight 3D CNN for accurate segmentation of COVID-19 pneumonia lesions
from CT … paper, we propose a lightweight CNN (LCOVNet) for accurate segmentation of …

… multi-task model for 3D COVID-19 lesion segmentation and … of imaging features between
COVID-19 and other pneumonia … Neural Networks (CNNs) significantly impact medical image …

… LCOV-Net for binary segmentation of Covid-19 pneumonia … LCOV-Net to multi-organ
segmentation from 3D CT images, and … pneumonia lesion segmentation from 3D CT images,” in …

… LCOV-Net, a lightweight 3D CNN for image segmentation of COVID-19 pneumonia lesions
from CT … pneumonia lesion segmentation from 3d ct images. In: 2021 IEEE 18th International …

… COVID-19 from regular pneumonia by observing the features of CT scans [4], manually
evaluating thousands of CT scans during … LCOV-Net: A lightweight 3D CNN that accurately and …

… For GGO segmentation, ACL is more lightweight, and the … of COVID-19, more and more
deep neural networks have … the segmentation of COVID-19 GGO and common pneumonia. …

… -art architectures in the COVID-19 lesion segmentation task, as … , are hallmark characteristics
of COVID-19 pneumonia [1]. While … A lightweight CNN model LCOV-Net [29] employed a …

… , we propose a novel COVID-19 lesion segmentation model, … , “LCOV-NET: A Lightweight
Neural Network For COVID-19 … region of lung for COVID-19 pneumonia with CT image set,” …

… deaths due to COVID-19 were associated with COVID-19 pneumonia. It was … LCOV-NET:
a lightweight neural network for covid-19 pneumonia lesion segmentation from 3D CT images…

… then a COVID-19 pneumonia lesion segmentation network (… a novel lightweight convolutional
neural network based on … Although it is less sensitive than chest 3D CT imaging, it can …