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Model for the detection, segmentation, and classification of prostate lesions from mpMRI, using ProstateX data and Retina U-Net

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Hello! I am trying to install the custom extensions from MDT_ProstateX: `custom_extensions/nms`, `custom_extensions/roi_align/2D`, and `custom_extensions/roi_align/3D`. `RoIAlign-extension-2D` and `RoIAlign-extension-3D` have been successfully built, but `nms-extension` keeps failing. I have attached below...

Hi @OscarPellicer First of all thank you for your great work. I am working on prostate cancer classification and I am new in this field and i will be thankful...

Thank you for sharing such a complete task solution.And while reading your solution in ProstateX preprocessing.ipynb, I came up with following questions: 1. what is cz_mask? what does cz mean?(I...

Hello, I would like to ask this source code has the realization of prediction function?I only have the patient's MRI image without corresponding LesionInformation and mask, etc. Then how should...

Hi @OscarPellicer After configuring the environment according to the installation process, I executed python setup. py install code will encounter the following error, showing that I do not have scikit-image...

Hello, I encountered the same issue during testing and analysis. What could be the reason? As far as I know, there is an analysis of AUC and DSC in Result...

Hi, Dear OscarPellicer I have a question about Registration code in "Registration example.ipynb" .We can see" fixed_image_reg= get_gradient_features(fixed_image) moving_image_reg= -get_gradient_features(moving_image) ". Why is there a negative sign in the second...