Breast cancer detection model - Error with Keras Learner Node

[AliGad]

Dear KNIME Community,

I am writing to inform you that I am currently working on a breast cancer detection project and would like to export the model to model.h5 in or
der to continue the project in Python. I have been using the Keras Node to create my model, but I have encountered an error while using the Keras Learner Node. The error message states “The input shape does not match the tensor shape. [1, 3] vs. [150, 150, 3].”

I have been unable to find a solution for converting the images, and I am also detecting three types of cancer. there’s no TO IMAGE conversion in the drop menu inside Keras Network Learner node.

I would greatly appreciate any guidance or suggestions that the KNIME community can provide on how to resolve this issue and export my model.

The workflow:
LUNGDetection.knwf (51.9 KB)

Thank you for your time and support.

[steffen_KNIME]

Hi @AliGad,

could you try installing KNIME Image Processing - Deep Learning Extension – KNIME Community Hub ?
This should add a conversion method to allow for image input in the Keras Leaner node.

Let me know whether that worked!

Best regards
Steffen

[AliGad]

Hi @steffen_KNIME,
Thank you for your replay.
Actually I used “image reader” node from KNIME Image Processing - Deep Learning Extension – KNIME Community Hub to read training and testing images and it’s not allowed in the conversion method inside in the “Keras Leaner node”.

[steffen_KNIME]

Hi,

we are talking about two different extensions. You installed KNIME Image Processing – KNIME Community Hub
Please try installing the other extension.

Steffen

[AliGad]

Okay, I got it and will try it.
Thanks @steffen_KNIME

[AliGad]

thank you @steffen_KNIME
IT WORKS!
Thank you @steffen_KNIME so much for your incredible support.