NasserAlzidi

NasserAlzidi's Stars

• keras-team/keras-io

  Keras documentation, hosted live at keras.io

  Language:Jupyter Notebook2.8k2k

• zabithameed/fuse-med-ml

  FuseMedML is an open-source python-based framework designed to enhance collaboration and accelerate discoveries in Fused Medical data through advanced Machine Learning technologies. Initial version is PyTorch-based and focuses on deep learning on medical imaging and digital pathology.

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• ImagingDataCommons/TCIA-IDC-Coordination

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• piotrsobecki/PCa-radiomics-experiments

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• piotrsobecki/PCa-CNNs

  Prostate lesion classification using Deep Convolutional Neural Networks

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• WeiweiZongHFHS/Gleason-Score-Prediction-from-Prostate-MRI-using-AutoKeras

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• hugegene/3D-CNN-on-PROSTATEx2

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• DivyaRavindran007007/PROSTATEx-2

  SPIE-AAPM-NCI PROSTATEx Challenges-The PROSTATEx Challenge (" SPIE-AAPM-NCI Prostate MR Classification Challenge”) focused on quantitative image analysis methods for the diagnostic classification of clinically significant prostate cancers and was held in conjunction with the 2017 SPIE Medical Imaging Symposium. PROSTATEx ran from November 21, 2016 to January 15, 2017, though a "live" version has also been established at https://prostatex.grand-challenge.org which serves as an ongoing way for researchers to benchmark their performance for this task. The PROSTATEx-2 Challenge (" SPIE-AAPM-NCI Prostate MR Gleason Grade Group Challenge" ) was focused on the development of quantitative multi-parametric MRI biomarkers for the determination of Gleason Grade Group in prostate cancer.

  Language:Jupyter Notebook101

• JZK00/Radiomics-research-by-using-Python

  Radiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.

  Language:Jupyter Notebook415

• rmsandu/segmentation-eval

  Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

  Language:Python235

• Rohit-Kundu/Traditional-Feature-Extraction

  Feature Extraction is an integral step for Image Processing jobs. This repository contains the python codes for Traditional Feature Extraction Methods from an image dataset, namely Gabor, Haralick, Tamura, GLCM and GLRLM.

  Language:Python305

• pereaanamaria/prostate_cancer_classifier

  3D Prostate Cancer Classifier - The purpose of this project is to develop a CNN capable to determine whether the prostate lesion is benign or malign, using the MONAI framework.

  Language:Jupyter Notebook61

• OscarPellicer/prostate_lesion_detection

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

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• yesid08/Prostatex-1

  First prostatex challenge

  Language:Jupyter Notebook51

• plapa/prostatex-thesis

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• saifengliu/PROSTATEx

  Documents related to the PROSTATEx challenge 2017.

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• rajbharat/ProstateX

  IW - ProstrateX2 - Image Classification + Auto encoders for NUH

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• JZK00/Radiomics-Features-Extractor

  Hand-crafted radiomics and deep learning-based radiomcis features extraction.

  Language:Python7718

• jspunda/prostatex

  This is the repository of the final project for the course Intelligent Systems in Medical Imaging 2017

  Language:Jupyter Notebook147

• rcuocolo/PROSTATEx_masks

  Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.

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