MNet_DeepCDR
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Code for TMI 2018 "Joint Optic Disc and Cup Segmentation Based on Multi-label Deep Network and Polar Transformation"
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 1.15.2 to 2.11.1. Release notes Sourced from tensorflow's releases. TensorFlow 2.11.1 Release 2.11.1 Note: TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting...
Below are error messages after I execute Step_4_CDR_output.m : 'edge' requires one of the following: Image Processing Toolbox Statistics and Machine Learning Toolbox Error in fun_DiscFit (line 5) edge_disc =...
I am using MNet to train the REFUGE dataset and test it on the REFUGE validation dataset, and I found that my Dice is only 0.89, but the result using...
file_test_list = files_with_ext(data_img_path, data_type) 0
disc_map[-round(DiscROI_size / 3):, :] = 0 cup_map[-round(DiscROI_size / 2):, :] = 0 以上为65、66行的源代码 1/3与1/2的修改,可以直接影响视杯与视盘的半径大小,故这两个数值对杯盘比是有直接影响的 本人才疏学浅,不知这么理解是否有误
I want to use this code to my research, but your README shows that "M-Net.h5" file is not suitable.
I see your fun_CalCDR.m matlab code, but how do you get the CDR calculation within python?