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CSE499A-499B-498R-NASA Apace Apps Challenge

Brain Tumor Segmentation using MRI Images

Penumonia Detection using Chest X-Ray Images

Malaria Detection using Blood Cell Images

Model Accuracy Table

Tumor Segmentation VGG19 Resnet50 InceptionV3 InceptionResnetV2 Efficientnet-B7

Model Accuracy
VGG19 0.95
Resnet50 0.68
InceptionV3 0.92
InceptionResnetV2 0.95
Efficientnet-B7 0.82

Pneumonia Segmentation VGG19 Resnet50 InceptionV3 InceptionResnetV2 Efficientnet

Model Accuracy
VGG19 0.89
Resnet50 0.90
InceptionV3 0.93
InceptionResnetV2 0.94
Efficientnet 0.74

Malariya Detection VGG19 Resnet50 InceptionV3 InceptionResnetV2 Efficientnet-B7

Model Accuracy
VGG19 0.50
Resnet50 0.94
InceptionV3 0.95
InceptionResnetV2 0.91
Efficientnet-B7 0.49

Dependencies intallation

pip install -r requirements.txt
  • Python 3.10
  • Tensorflow 2.10

It will install all the dependencies required for the project.

This Project is implemented on Google Colab. So, you can run the project on Google Colab. Select the GPU as the runtime type for faster execution.

Drive : https://drive.google.com/drive/folders/1ejXG6JWSSG5t5MoXvti1hDmi4SVu5qEw?usp=sharing