GitHub - Kopika0208/Multi-Class-Abnormality-Detection-in-Video-Capsule-Endoscopy-Images: Video capsule endoscopy (VCE) is an important innovation for gastroenterology and enables minimally invasive GI investigations. But VCE creates enormous amounts of data. The proposed model uses CNN architecture and ensemble learning to address this issue.

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Video capsule endoscopy (VCE) is an important innovation for gastroenterology and enables minimally invasive GI investigations. But VCE creates enormous amounts of data. The proposed model uses CNN architecture and ensemble learning to address this issue.

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ExpAI_implementation.ipynb		ExpAI_implementation.ipynb
InceptionV3.ipynb		InceptionV3.ipynb
hybrid-cnn-on-vce.ipynb		hybrid-cnn-on-vce.ipynb