Skip to content

Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.

Notifications You must be signed in to change notification settings

sujal100/Endoscopy-Image-Processing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Endoscopy-Image-Processing

Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.

First add requirements.txt file

Then download dataset from https://www.kaggle.com/datasets/francismon/curated-colon-dataset-for-deep-learning and extract it in the same folder

Then run the jupyter notebook for InceptionV3.ipynb for implementing the InceptionV3 model

Then run the jupyter notebook for Efficient.ipynb for implementing the Efficient model

About

Endoscopy Image Processing & Classification. Academic project as a part of the course AI in Biomedicine. Classify using pre-trained InceptionNetv3 and EfficientNetB2 classifiers and compare the accuracy.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published