How can I apply this model to grayscale images in medical image segmentation tasks?

[lllydialiu]

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I'm working on liver tumor segmentation using CT images which are grayscale images and have one channel. How can I apply my dataset to this model?

I have tried this way: (but doesn't work for SegNet here) inp = Input(shape=(480, 480, 1)) l1 = Conv2D(3, (1, 1))(inp) base_model = vgg_segnet(n_classes=2, input_height=480, input_width=480) out = base_model(l1) model = Model(inp, out, name=base_model.name) (learned from: Training with non RGB data https://segmentation-models.readthedocs.io/en/latest/tutorial.html#training-with-non-rgb-data)