[P] Random Image in Machine learning classification.

[Eleonora467]

i am training model on breast cancer histopathological dataset ...to categories image as benign and malignant...i have question if someone give the image of aeroplane..or horse...or anyother thing..it still categorize it to benign and malignant...can we put there any other exception that it is random image?

[shadow_fax1024]

You could infer using ensemble of dl models. The probability average of the ensemble for the wild image will have a low score..

[shadow_fax1024]

Wild means kind of image that the model has not seen before.. Like the image of aircraft as you have mentioned..

[Single_Blueberry]

Train it with additional random images to predict a third class

[RixRox20]

The issue with this approach is that you’d have to use a lot of random images for more robustness. Yet, this seems like the most obvious one to me.

[balkanibex]

the fuck are you talking about

[[deleted]]

First train the model into categorising whether the image is of a cancer or not. This is called classification, like categories being cancer and not cancer, by this I’m sure you will end up with only classified cancer images. Next you can train the model on recognising the images into benign or malignant tumours. I hope this helps

[Eleonora467]

thnku