The second task of the 3d cnn network is to evaluate the malignancy of the nodules,
out_malignancy = Convolution3D(1, 1, 1, 1, activation=None, name="out_malignancy_last")(last64)
out_malignancy = Flatten(name="out_malignancy")(out_malignancy)
but in the step3_predict_nodules.py,the diameter_mm = round(p[1][i][0], 4),why the second output of the network is the diameter of the nodule,not the malignancy,if I understanding something wrong.I want your help desirely,thank you very much.
The second task of the 3d cnn network is to evaluate the malignancy of the nodules, out_malignancy = Convolution3D(1, 1, 1, 1, activation=None, name="out_malignancy_last")(last64) out_malignancy = Flatten(name="out_malignancy")(out_malignancy) but in the step3_predict_nodules.py,the diameter_mm = round(p[1][i][0], 4),why the second output of the network is the diameter of the nodule,not the malignancy,if I understanding something wrong.I want your help desirely,thank you very much.