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Project Title: COVID-19 Detection Using Segmentation, Region Extraction, and Classification Pipeline. Project Steps: Step1: Segmentation
Comparison segmentation methods: traditional, UNet-based with different level-depths, UNet-based with BatchNormalization to get the highest performance. Repository here. Step 2: Lung Exctraction Step3: Classification
CNN classifier is used to take the final COVID-19 diagnosis
The link is here
The project is deployed for predictions at slices level as a web-app
The text was updated successfully, but these errors were encountered:
Project Title: COVID-19 Detection Using Segmentation, Region Extraction, and Classification Pipeline.
Project Steps:
Step1: Segmentation
Comparison segmentation methods: traditional, UNet-based with different level-depths, UNet-based with BatchNormalization to get the highest performance. Repository here.
Step 2: Lung Exctraction
Step3: Classification
CNN classifier is used to take the final COVID-19 diagnosis
The link is here
The project is deployed for predictions at slices level as a web-app
The text was updated successfully, but these errors were encountered: