Alternatives and similar repositories for vis_tool

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

• lemoshu / MTCL
  [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning
  ☆76Updated last year
• JunMa11 / GeneralizedMedSeg
  Recent progress on domain adaption/generalization for medical image segmentation
  ☆54Updated 3 years ago
• LWHYC / OneShot_WeaklySeg
  ☆29Updated 2 years ago
• MIRACLE-Center / Partially-supervised-multi-organ-segmentation
  code for Marginal loss and exclusion loss for partially supervised multi-organ segmentation
  ☆26Updated 3 years ago
• HiLab-git / SCPM-Net
  [MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
  ☆58Updated 2 years ago
• HiLab-git / Paper-Reading-Group
  List shared papers in our group
  ☆66Updated 11 months ago
• DeepMedLab / Tri-U-MT
  ☆34Updated 4 years ago
• JunMa11 / myvi
  Show 3D segmentation results with the lightweight myvi.
  ☆18Updated 5 years ago
• YichiZhang98 / DTML
  [PRCV'21] The official code for "Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation"
  ☆27Updated 3 years ago
• Luoxd1996 / RA-Tool
  An easy tool for medical image segmentation results analysis
  ☆16Updated 2 years ago
• PeijunCN / DSD-ASPP-Net_pancreas_segmentation
  ☆12Updated 4 years ago
• koncle / CoraNet
  ☆55Updated 3 years ago
• TopoXLab / TopoInteraction
  This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", …
  ☆81Updated last year
• jianpengz / ConResNet
  [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation
  ☆53Updated 4 years ago
• zzdxjtu / S-cuda
  Code for S-cuda: Self-Cleansing Unsupervised Domain Adaptation for Medical Image Segmentation
  ☆28Updated 4 years ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• rjtaraujo / dvae-refiner
  ☆35Updated 5 years ago
• ahukui / BOWDANet
  Source code for BOWDANet
  ☆43Updated 4 years ago
• thangylvp / HDenseUet
  H-DenseUnet pytorch implementation
  ☆21Updated 5 years ago
• moucheng2017 / Med-Noisy-Labels
  [NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
  ☆74Updated 2 years ago
• zzw-szu / CDCL
  ☆39Updated 3 years ago
• himashi92 / Duo-SegNet
  [MICCAI2021] This is an official PyTorch implementation for "Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image Segment…
  ☆51Updated 3 years ago
• YaoZhang93 / TumorCP
  [MICCAI 2021] The official code for "TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation"
  ☆18Updated 2 years ago
• Luoxd1996 / nnunet_mini
  ☆21Updated 2 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated 2 years ago
• MIC-DKFZ / ACDC2017
  ☆61Updated 6 years ago
• moucheng2017 / EM-BPL-Semi-Seg
  [MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
  ☆40Updated 2 months ago
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆29Updated 3 years ago
• elchiou / DA
  Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation
  ☆18Updated 4 years ago
• emma-sjwang / Dofe
  code for TMI DoFE: Domain-oriented Feature Embeddingfor Generalizable Fundus Image Segmentationon Unseen Datasets
  ☆58Updated 3 years ago