Important Correction: In the code, the labels=[1, 0] argument was missing in the confusion_matrix() function. This caused the confusion matrix plot to be flipped, altering the mean values of TP, TN, FP, and FN. The correction has been made in the code file available on [GitHub link]. Please check the updated version for accurate results.
Please help me 😢 Can you create CNN classification for medical domain like Brain tumors classification and there can you get at least 90% precision recall f1 🤔 Please try to create this model because I never get more then 50% accuracy for medical domain. 😢 It would be great if you create this model
Important Correction:
In the code, the labels=[1, 0] argument was missing in the confusion_matrix() function. This caused the confusion matrix plot to be flipped, altering the mean values of TP, TN, FP, and FN. The correction has been made in the code file available on [GitHub link]. Please check the updated version for accurate results.
Data Set Download Link:
www.kaggle.com/c/dogs-vs-cats/data
Please help me 😢
Can you create CNN classification for medical domain like Brain tumors classification and there can you get at least 90% precision recall f1 🤔
Please try to create this model because I never get more then 50% accuracy for medical domain. 😢
It would be great if you create this model
Yes. Can you give me data. Or data set link. So i can optimize the specific model.
@anjumzahid789 You will get data from kaggle just search for Brain Tumors classification and you will get lot of data 😊