Alternatives and similar repositories for mil_pooling_filters

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

• yfzon / DT-MIL
  ☆37Updated 3 years ago
• YashSharma / C2C
  Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
  ☆62Updated 3 years ago
• MarvinLer / tcga_segmentation
  Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
  ☆139Updated 4 years ago
• PhilipChicco / MICCAI2020mil
  MICCAI2020. "Multiple Instance Learning with Center Embeddings for Histopathology Image Classification"
  ☆39Updated 4 years ago
• uta-smile / DeepAttnMISL
  Contains codes of DeepAttnMISL in MEDIA'20
  ☆58Updated 4 years ago
• histocartography / hact-net
  ☆70Updated 4 years ago
• vqdang / H2T
  ☆35Updated 2 years ago
• mahmoodlab / Patch-GCN
  Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
  ☆154Updated last year
• DIAGNijmegen / pathology-hooknet
  ☆63Updated 11 months ago
• KatherLab / HIA
  Histopathology Image Analysis
  ☆92Updated 2 years ago
• DIAGNijmegen / pathology-he-auto-augment
  H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
  ☆57Updated 2 years ago
• hrlblab / CS-MIL
  ☆53Updated 4 months ago
• TissueImageAnalytics / CoNIC
  CoNIC Challenge
  ☆66Updated last year
• ChuHan89 / WSSS-Tissue
  ☆64Updated 3 years ago
• MSKCC-Computational-Pathology / DMMN
  Deep Multi-Magnification Network for multi-class tissue segmentation of whole slide images
  ☆26Updated 2 years ago
• takeuchi-lab / MS-DA-MIL-CNN
  Multi-scale Domain-adversarial Multiple Instance Learning CNN (CVPR2020)
  ☆78Updated 5 years ago
• histocartography / zoommil
  ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…
  ☆66Updated 2 years ago
• agentdr1 / LA_MIL
  Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch
  ☆24Updated last year
• yiqings / RandStainNA
  RandStainNA: Simple and efficient augmentations for histology [MICCAI 2022]
  ☆54Updated 2 years ago
• zihou98 / PMIL
  Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
  ☆31Updated last year
• lucasrla / wsi-preprocessing
  Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
  ☆55Updated last year
• xhangchen / MRAN
  Multi-Scale Representation Attention based Deep Multiple Instance Learning for Gigapixel Whole Slide Image Analysis
  ☆26Updated 2 years ago
• wenqi006 / SlideGraph
  ☆55Updated 3 years ago
• invoker-LL / WSI-finetuning
  This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supe…
  ☆86Updated last year
• Zhengyushan / kat
  The code for Kernel attention transformer (KAT)
  ☆35Updated last year
• JarveeLee / HybridSupervisionLearning_Pathology
  Public code for Hybrid Supervision Learning for Pathology Whole Slide Image Classification, MICCAI2021
  ☆12Updated 3 years ago
• pegahsalehi / Stain-to-Stain-Translation
  Pix2Pix-based Stain-to-Stain Translation: A Solution for Robust Stain Normalization in Histopathology Images Analysis
  ☆33Updated 5 years ago
• jeromerony / survey_wsl_histology
  ☆26Updated 10 months ago
• hrzhang1123 / DTFD-MIL
  ☆163Updated last year
• TissueImageAnalytics / PanNuke-metrics
  Evaluation code for the PanNuke dataset
  ☆28Updated 4 years ago