Alternatives and similar repositories for ddsm_tools

Users that are interested in ddsm_tools are comparing it to the libraries listed below

• nyukat / mammography_metarepository
  Meta-repository of screening mammography classifiers
  ☆71Updated 3 years ago
• ZFTurbo / classification_models_3D
  Set of models for classifcation of 3D volumes
  ☆188Updated last year
• Project-MONAI / MONAIBootcamp2021
  Materials for the 2021 MONAI Bootcamp
  ☆111Updated 4 years ago
• rcuocolo / PROSTATEx_masks
  Lesion and prostate masks for the PROSTATEx training dataset, after a lesion-by-lesion quality check.
  ☆89Updated 3 years ago
• IlliaOvcharenko / lung-segmentation
  Lung segmentation for chest X-Ray images
  ☆137Updated 2 years ago
• nyukat / GLAM
  Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
  ☆48Updated 3 years ago
• Jack-Etheredge / Brain-Tumor-Segmentation-3D-UNet-CNN
  Brain tumor segmentation using a 3D UNet CNN
  ☆116Updated 6 years ago
• shalabh147 / Brain-Tumor-Segmentation-and-Survival-Prediction-using-Deep-Neural-Networks
  Use of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation a…
  ☆171Updated 5 years ago
• hasibzunair / 3D-image-classification-tutorial
  [Official Keras Code Example] Tutorial to train a 3D CNN to predict presence of pneumonia from CT scans.
  ☆61Updated 3 years ago
• hasibzunair / uniformizing-3D
  [MICCAI'2020 PRIME] Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Severity Estimation.
  ☆62Updated 3 years ago
• FNNDSC / med2image
  Converts medical images to more displayable formats, e.g. NIfTI to jpg.
  ☆206Updated last year
• MGH-LMIC / windows_optimization
  Implementation of "Practical Window Setting Optimization for Medical Image Deep learning"
  ☆42Updated 6 years ago
• primakov / DuneAI-Automated-detection-and-segmentation-of-non-small-cell-lung-cancer-computed-tomography-images
  Repository supporting the original research paper in Nature Communications (Primakov et al. 2022)
  ☆82Updated last year
• RSNA / AI-Deep-Learning-Lab-2021
  Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab at RSNA 2021
  ☆81Updated 3 years ago
• Emory-HITI / EMBED_Open_Data
  Data descriptor and sample notebooks for the Emory Breast Imaging Dataset (EMBED) hosted on the AWS Open Data Program
  ☆81Updated 3 weeks ago
• DIAGNijmegen / picai_labels
  Annotations for the PI-CAI Challenge: Public Training and Development Dataset
  ☆69Updated 7 months ago
• ahmedbesbes / mrnet
  Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
  ☆136Updated 4 years ago
• anindox8 / Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT
  Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN …
  ☆35Updated 5 years ago
• amine0110 / Medical-Conversions
  ☆39Updated 2 years ago
• RichardObi / medigan
  medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
  ☆193Updated last year
• neuronflow / BraTS-Toolkit
  Code to preprocess, segment, and fuse glioma MRI scans based on the BraTS Toolkit manuscript.
  ☆99Updated 4 months ago
• riblidezso / frcnn_cad
  Computer aided detection using Faster-RCNN
  ☆105Updated 7 years ago
• nyukat / BIRADS_classifier
  High-resolution breast cancer screening with multi-view deep convolutional neural networks
  ☆162Updated 7 years ago
• CleonWong / Can-You-Find-The-Tumour
  Identifying tumours in breast mammograms using semantic segmentation in Tensorflow 2.0.
  ☆38Updated 4 years ago
• MIC-DKFZ / BodyPartRegression
  ☆79Updated 5 months ago
• Sikerdebaard / dcmrtstruct2nii
  DICOM RT-Struct to mask
  ☆103Updated last year
• 3dimaging / DeepLearningCamelyon
  DeepLearning - Camelyon16 dataset
  ☆129Updated 7 years ago
• jasonccai / HeadCTSegmentation
  Multi-class U-Net for head CT segmentation
  ☆35Updated 8 months ago
• ImagingLab / ICIAR2018
  Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…
  ☆218Updated 6 years ago
• Jingnan-Jia / segmentation_metrics
  A package to compute medical segmentation metrics.
  ☆182Updated last year