Alternatives and similar repositories for PyTorch-SE-Segmentation:

Users that are interested in PyTorch-SE-Segmentation are comparing it to the libraries listed below

• LIVIAETS / semi_curriculum
  Code for our arxiv preprint: https://arxiv.org/abs/1904.05236
  ☆34Updated 5 years ago
• rodsom22 / gcn_refinement
  ☆36Updated 2 years ago
• smilell / AG-CNN
  The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)
  ☆74Updated 3 months ago
• vlievin / Unet
  U-Net Model for Image Segmentation Problems using PyTorch 0.4
  ☆36Updated 5 years ago
• lxasqjc / Foveation-Segmentation
  PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
  ☆41Updated 3 years ago
• ngxbac / StructSeg2019
  3rd of Task3 and 4th of Task4 of StructSeg2019 competition - MICCAI 2019
  ☆19Updated 2 years ago
• alainjungo / reliability-challenges-uncertainty
  Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
  ☆53Updated last year
• lc82111 / Active-Contour-Loss-pytorch
  An unofficial pytorch implementation for "Learning Active Contour Models for Medical Image Segmentation" by Chen, Xu, et al.
  ☆75Updated 3 months ago
• MASILab / SynSeg-Net
  SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
  ☆68Updated 6 years ago
• woodywff / nas_3d_unet
  Neural Architecture Search for Gliomas Segmentation on Multimodal Magnetic Resonance Imaging
  ☆22Updated 4 years ago
• Karol-G / Gcam
  Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention…
  ☆49Updated 4 years ago
• utkuozbulak / adaptive-segmentation-mask-attack
  Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmen…
  ☆60Updated 4 years ago
• dmitrysarov / clDice
  pyTorch implementation of clDice
  ☆28Updated 5 years ago
• darylfung96 / self-supervised-CT-segmentation
  ☆8Updated last year
• kiretd / Unsupervised-MIseg
  Unsupervised medical image segmentation using edge mapping and adversarial learning
  ☆20Updated 5 years ago
• magnusja / RelayNet
  Measuring uncertainty in Deep Learning for Medical Imaging using Monte Carlo Dropout
  ☆13Updated 6 years ago
• cswin / AWC
  CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
  ☆48Updated 3 years ago
• sacmehta / 3D-ESPNet
  Efficient Segmentation for Volumetric Data
  ☆44Updated 6 years ago
• mathilde-b / CDA
  Constrained Domain Adaptation for Segmentation
  ☆29Updated 2 years ago
• asgsaeid / ComboLoss
  ☆19Updated 4 years ago
• trypag / NonAdjLoss
  ☆28Updated 5 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated 2 years ago
• yijingru / ANCIS-Pytorch
  [Medical Image Analysis 2019] Attentive Neural Cell Instance Segmentation
  ☆47Updated 3 years ago
• Guo-Xiaoqing / Triple-ANet
  [MICCAI'19] Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
  ☆49Updated 4 years ago
• moliqingcha / Deformable-U-Net
  2D U-Net using deformable convolution
  ☆28Updated 4 years ago
• krishnabits001 / task_driven_data_augmentation
  semi-supervised and task driven data augmentation code to improve segmentation performance
  ☆57Updated last year
• DLwbm123 / OCMIST
  GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)
  ☆12Updated 5 years ago
• pfnet-research / label-efficient-brain-tumor-segmentation
  ☆21Updated 4 years ago
• naivete5656 / WSISPDR
  Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
  ☆43Updated 4 years ago
• PengyiZhang / MIADeepSSL
  This page is for A Survey on Deep Learning of Small Sample in Biomedical Image Analysis.
  ☆28Updated 4 years ago