simongraham / dsf-cnnLinks
Dense Steerable Filter CNN
☆76Updated 2 years ago
Alternatives and similar repositories for dsf-cnn
Users that are interested in dsf-cnn are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of the Probabilistic U-Net, applied to probabilistic glioma growth☆43Updated 6 years ago
- Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands☆110Updated 5 years ago
- Code accompanying the paper Neural Image Compression for Gigapixel Histopathology Image Analysis☆50Updated 2 years ago
- To train deep convolutional neural networks, the input data and the activations need to be kept in memory. Given the limited memory avail…☆100Updated last year
- Use streaming to train whole-slides images with single image-level labels, by reducing GPU memory requirements with 99%.☆79Updated 2 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆23Updated 6 years ago
- This repository contains the code necessary in order to reproduce the work contained in the submitted paper: "Segmentation of Nuclei in H…☆53Updated 5 years ago
- Repository for the Medical Out-of-Distribution Analysis Challenge.☆63Updated 11 months ago
- ☆66Updated 6 years ago
- This is a PyTorch implementation of the paper: "Processing Megapixel Images with Deep Attention-Sampling Models".☆41Updated last year
- Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medic…☆62Updated 3 years ago
- Accepted in MIDL 2020☆32Updated 4 years ago
- Implementation of PyTorch-based multi-task pre-trained models☆33Updated 4 years ago
- SA-Diagnet: Self-attention-based network for diagnosing histopathological images☆29Updated 4 years ago
- Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.…☆34Updated 2 years ago
- Roto-reflection equivariant CNNs for Keras as presented in B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, M. Welling. "Rotation Equivar…☆84Updated 5 years ago
- Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019☆128Updated 2 years ago
- This is official Pytorch implementation of "Uncertainty quantification in medical image segmentation with Normalizing Flows", Raghavendra…☆30Updated 2 years ago
- CNN based segmentation codes☆47Updated 2 years ago
- Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings o…☆98Updated 3 years ago
- Differences between human and machine perception in medical diagnosis☆33Updated 3 years ago
- Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation☆55Updated last year
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Updated 11 months ago
- A manually annotated test set for DeepLesion with 3D lesion boxes☆25Updated 4 years ago
- This repository contains my implementations of the algorithms which we used for evaluation of the MoNuSeg challenge at MICCAI 2018.☆44Updated 3 years ago
- PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images☆41Updated 3 years ago
- Analysis of results of the Data Science Bowl 2018☆21Updated 5 years ago
- An unsupervised (or self-supervised) loss function for binary image segmentation (TensorFlow)☆71Updated 3 years ago
- Stochastic Segmentation Networks☆66Updated 5 years ago
- ☆21Updated 4 years ago