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Histopathologic metastatic breast cancer detection with convolution neural networks on pathology whole slide images using TensorFlow.

License: GNU General Public License v3.0

Jupyter Notebook 98.77% Python 1.23%
cancer-detection lymph-nodes camelyon metastases tensorflow pcam transfer-learning gradcam

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ValueError: operands could not be broadcast together with shapes (1034,1034,3) (1000,)

@apresland Your approach looks interesting by using a GradCAM method for cancer detection on histopathologic images.
I tried to use it on my dataset and as a model I used the following
from keras.applications.resnet import ResNet50, preprocess_input
model = ResNet50(weights = 'imagenet')

For the last cell to plot the prediction show_gradCAMs(model, gradCAM, guidedBP, img_path) I get this errors

----> new_img = overlay_gradCAM(img, cam3, preds[0])
----> cam3 = np.uint8(255cam3prob)
ValueError: operands could not be broadcast together with shapes (1034,1034,3) (1000,)

Any ideas how how to fix this shapes issue to be able to plot the prediction? Thanks in advance!

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