Alternatives and similar repositories for Atten_Deep_MIL

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

• zizhaozhang / nmi-wsi-diagnosis
  Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
  ☆132Updated 6 years ago
• cheersyouran / cancer-detector
  Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Imag…
  ☆51Updated 7 years ago
• FarhadZanjani / Histopathology-Stain-Color-Normalization
  Deep Convolutional Gaussian Mixture Model for Stain-Color Normalization in Histopathological H&E Images
  ☆82Updated 4 years ago
• mahmoodlab / NucleiSegmentation
  cGAN-based Multi Organ Nuclei Segmentation
  ☆192Updated 3 years ago
• lyndonchan / hsn_v1
  HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
  ☆94Updated 5 years ago
• cv-lee / Camelyon17
  PyTorch implementation for Camelyon17 (Breast Tumor Classification)
  ☆85Updated 7 years ago
• arjunvekariyagithub / camelyon16-grand-challenge
  Implementation of Camelyon'16 grand challenge
  ☆184Updated 6 years ago
• SBU-BMI / quip_cnn_segmentation
  CNN based segmentation codes
  ☆48Updated 2 years ago
• bohu615 / nu_gan
  unsupervised cell-level visual representation learning
  ☆47Updated 6 years ago
• xtarx / StainGAN
  ☆67Updated 4 years ago
• ImagingLab / ICIAR2018
  Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Hist…
  ☆214Updated 6 years ago
• ysbecca / py-wsi
  Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch samplin…
  ☆164Updated last year
• Peter554 / StainTools
  Tools for tissue image stain normalisation and augmentation in Python 3
  ☆342Updated 4 years ago
• Amandaynzhou / CGC-Net
  cell graph convolutional network
  ☆69Updated 5 years ago
• eiriniar / gleason_CNN
  ☆41Updated 6 years ago
• paip-2019 / challenge
  ☆30Updated 5 years ago
• 3dimaging / DeepLearningCamelyon
  DeepLearning - Camelyon16 dataset
  ☆127Updated 7 years ago
• btcrabb / SlideSeg
  A Python module that produces image patches and annotation masks from whole slide images for deep learning in digital pathology.
  ☆80Updated 3 years ago
• MSKCC-Computational-Pathology / MIL-nature-medicine-2019
  ☆345Updated 3 years ago
• lsheng23 / Practicum
  ☆28Updated 4 years ago
• MEDAL-IITB / Fast_WSI_Color_Norm
  Codes for Fast GPU-Enabled Color Normalization of Whole Slide Images in Digital Pathology
  ☆75Updated 5 years ago
• ThoroughImages / CAMEL
  The colorectal adenoma dataset with image-level labels for weakly supervised learning.
  ☆29Updated 6 years ago
• choosehappy / PytorchDigitalPathology
  An implementation of Unet for pytorch designed for digital pathology segmentation
  ☆126Updated 3 years ago
• jgamper / compay-syntax
  Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
  ☆55Updated 2 years ago
• wanghao14 / Stain_Normalization
  Some stain normalization code
  ☆91Updated 3 years ago
• srinidhiPY / SSL_CR_Histo
  Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…
  ☆60Updated 3 years ago
• AdalbertoCq / Pathology-GAN
  Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…
  ☆98Updated 4 years ago
• deroneriksson / python-wsi-preprocessing
  Python Whole Slide Image Preprocessing
  ☆295Updated 2 years ago
• DIAGNijmegen / pathology-streaming-pipeline
  Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.
  ☆79Updated 2 years ago
• schaugf / HEnorm_python
  H&E histopathological staining normalization
  ☆109Updated 5 years ago