PengyiZhang / MIADeepSSL

Related projects: ⓘ

• alainjungo / reliability-challenges-uncertainty
  Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation
  ☆52Updated 11 months ago
• hellopipu / unet_plus
  pytorch implementation of UNet++（Nested UNet）
  ☆13Updated 5 years ago
• cswin / AWC
  CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
  ☆46Updated 3 years ago
• mathilde-b / CDA
  Constrained Domain Adaptation for Segmentation
  ☆30Updated 2 years ago
• SaverioVad / HAD_Net
  ☆11Updated 3 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated last year
• Yuqi-cuhk / Polyp-Seg
  ☆11Updated this week
• YtongXie / PGL
  ☆21Updated this week
• Prasanna1991 / LatentMixing
  The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]
  ☆21Updated last year
• ngxbac / StructSeg2019
  3rd of Task3 and 4th of Task4 of StructSeg2019 competition - MICCAI 2019
  ☆19Updated last year
• krishnabits001 / task_driven_data_augmentation
  semi-supervised and task driven data augmentation code to improve segmentation performance
  ☆56Updated last year
• cao13jf / CV-News
  ☆17Updated this week
• lxasqjc / Foveation-Segmentation
  PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
  ☆41Updated 2 years ago
• HiLab-git / UGIR
  Uncertainty-Guided Interactive Refinement for Segmentation
  ☆58Updated 3 years ago
• weningerleon / BraTS2018
  ☆17Updated 4 years ago
• MASILab / SynSeg-Net
  SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth
  ☆65Updated 5 years ago
• adriangrepo / segmentl
  Loss functions for Image Segmentation
  ☆12Updated 4 years ago
• naivete5656 / WSISPDR
  Weakly Supervised Cell Instance Segmentation by Propagating from Detection Response, in MICCAI2019.
  ☆43Updated 3 years ago
• charrywhite / elastic_interaction_based_loss
  Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"
  ☆38Updated last year
• xmengli / self_supervised
  ☆51Updated last year
• gvalvano / multiscale-adversarial-attention-gates
  Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
  ☆42Updated 2 years ago
• smilell / AG-CNN
  The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)
  ☆67Updated 5 years ago
• carrenD / ummkd
  [TMI'20] Unpaired Multi-modal Segmentation via Knowledge Distillation
  ☆107Updated last year
• Guo-Xiaoqing / Triple-ANet
  [MICCAI'19] Triple ANet: Adaptive Abnormal-aware Attention Network for WCE Image Classification
  ☆50Updated 4 years ago
• DLwbm123 / OCMIST
  GUI for MICCAI 2019 "Interactive deep editing framework for medical image segmentation" (One-click medical image segmentation tool!)
  ☆12Updated 5 years ago
• viggin / DeepLesion_manual_test_set
  A manually annotated test set for DeepLesion with 3D lesion boxes
  ☆23Updated 3 years ago
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆29Updated 2 years ago
• emma-sjwang / Reading_list
  reading list for deep learning —— PHD life
  ☆31Updated 3 years ago
• JimmyCai91 / LesionHarvester
  DeepLesion
  ☆22Updated 4 years ago
• syshin1014 / wssdl_bus
  Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images
  ☆15Updated 4 years ago