ECCV 2022 Workshop: AI-enabled Medical Image Analysis – Digital Pathology & Radiology/COVID19 : An easy-to-understand and lightweight Transfer Learning-based solutions for COVID-19 diagnosis
-
Updated
Jul 22, 2024 - Python
#
macro-f1
Here are 3 public repositories matching this topic...
ICCV 2021 Workshop: MIA-COV19D : A lightweight automated solution for COVID-19 diagnosis using image processing techniques and Convolutional Neural Networks
deep-learning
image-classification
lightweight-framework
cnn-model
medical-image-processing
covid19-data
macro-f1
-
Updated
Jul 22, 2024 - Python
ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D): An accurate automated solution for COVID-19 diagnosis using UNet segmentation, lung extraction, and classification framework
cnn
medical-imaging
classification
convolutional-neural-networks
unet
segmentaion
k-means-clustering
covid-19
region-based-segmentation
macro-f1
-
Updated
Jul 22, 2024 - Python
Improve this page
Add a description, image, and links to the macro-f1 topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the macro-f1 topic, visit your repo's landing page and select "manage topics."