thethomasboyer / PhenDiffLinks
Train and fine-tune diffusion models. Perform image-to-image class transfer experiments.
☆15Updated 10 months ago
Alternatives and similar repositories for PhenDiff
Users that are interested in PhenDiff are comparing it to the libraries listed below
Sorting:
- Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)☆143Updated 3 years ago
- 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
- Official repository of Benchmarking Self-Supervised Learning on Diverse Pathology Datasets☆91Updated 2 years ago
- Python 3 library for the augmentation & normalization of H&E images☆62Updated 3 years ago
- Pretrained model for self supervised histopathology☆121Updated 3 years ago
- H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.☆57Updated 2 years ago
- CoNIC Challenge☆69Updated last year
- Code associated to the publication: Scaling self-supervised learning for histopathology with masked image modeling, A. Filiot et al., Med…☆163Updated last year
- Encoder-Decoder Cell and Nuclei segmentation models☆95Updated last month
- ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) cla…☆68Updated 3 years ago
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆78Updated 2 years ago
- This repository includes the codes and descriptions to create a fully annotated dataset of nuclei from cryosectioned histological samples…☆43Updated 2 years ago
- DiffInfinite Official Code☆35Updated last year
- Evaluation code for the PanNuke dataset☆29Updated 5 years ago
- Analysis of 3D pathology samples using weakly supervised AI - Cell☆110Updated 11 months ago
- Stain normalization tools for histological analysis and computational pathology☆166Updated last month
- Histopathology Image Analysis☆92Updated 2 years ago
- Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis☆49Updated 2 years ago
- Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.☆59Updated 4 years ago
- StainNet: a fast and robust stain normalization network☆51Updated 4 years ago
- DiagSet: a dataset for prostate cancer histopathological image classification☆39Updated last year
- Deep Learning-based Frozen Section to FFPE Translation☆65Updated last year
- ☆69Updated 4 years ago
- Implementation of LA_MIL, Local Attention Graph-based Transformer for WSIs, PyTorch☆24Updated 2 years ago
- Official code for the paper "A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification"☆18Updated last year
- ☆46Updated 3 years ago
- Some stain normalization code☆93Updated 3 years ago
- NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation☆55Updated 3 years ago
- Pytorch implementation of Self Attentive Adversarial Stain Normalization (SAASN).☆14Updated 2 years ago
- [NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.☆176Updated last year