Lung Cancer Detection using VGG16 | Image Classification using Transfer Learning

Hey everyone,
In this video I have implemented a project of 'Lung Caner Classification using pre-trained VGG16 model' which is a transfer learning technique.
VGG16 model has been trained on 'imagine' dataset which consist of 13 convolutional layers and 3 FC layers. Hence freezing the Conv Layers and building the FC layers.
Model Accuracy:
97%
Dataset:
www.kaggle.com/datasets/andre...
IDE:
Google Colaboratory - colab.google
#imageclassification
#python
#deeplearning
#transferlearning
#cnn
Thanks for watching!
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[@MuhammadEhtisham-cm5vr]

great work , i am learning alot from your videos , plz make deep learning projects related to cv and nlp , and plz try to train and test from a raw dataset , will be thankful ! keep up the good work

[@InsightsByRish]

Thank you! And yes, I'm making more such videos. Stay tuned!

[@RDFunFactory563]

outstanding work, I learned so many things from your DL videos, can you please make a video on augmentation data with transfer learning using the image dataset you used in the lung cancer detection .
thank you!

[@InsightsByRish]

Thanks for appreciation! I'll soon make that but on a different dataset. As the lung cancer one becomes too heavy for processing after augmentation.

[@RDFunFactory563]

@@InsightsByRish Okay mam, thank you, but please can you use the Histopathological images dataset, actually I am a graduate student researching cancer cell detection using Histopathological images. so I will get some help. thanks!