Alternatives and similar repositories for TumorCP

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

• HiLab-git / SCPM-Net
  [MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
  ☆58Updated 2 years ago
• YaoZhang93 / FLARE2021-Baseline
  [MICCAI 2021 Challenge] The official baseline model for MICCAI Challenge: Fast and Low GPU memory Abdominal oRgan sEgmentation (FLARE21)
  ☆42Updated 2 years ago
• lambert-x / CateNorm
  The official implementation of "CateNorm: Categorical Normalization for Robust Medical Image Segmentation"
  ☆32Updated 2 years ago
• lseventeen / PHTrans
  [MICCAI2022] PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
  ☆34Updated 2 years ago
• CaptainWilliam / MTMR-NET
  Code for 《Multi-Task Deep Learning with Margin Ranking Loss for Lung Nodule Analysis》
  ☆12Updated 6 years ago
• Luoxd1996 / nnunet_mini
  ☆21Updated 2 years ago
• zunzhumu / CPMNetv2
  CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
  ☆37Updated last year
• jianpengz / ConResNet
  [IEEE-TMI2020] Inter-slice Context Residual Learning for 3D Medical Image Segmentation
  ☆53Updated 4 years ago
• neuronflow / blob_loss
  blob loss example implementation
  ☆37Updated 11 months ago
• alibaba-damo-academy / pixel-lesion-patient-network
  ☆31Updated last year
• poiuohke / UDC-Net
  Code for Dual-Consistency Semi-Supervised Learningwith Uncertainty Quantification for COVID-19Lesion Segmentation from CT Images
  ☆29Updated 3 years ago
• taigw / vis_tool
  visualize exeprimental results for image computing researches
  ☆28Updated 3 years ago
• JunMa11 / ADAM2020
  Solution to MICCAI 2020 ADAM
  ☆37Updated 4 years ago
• YichiZhang98 / DTML
  [PRCV'21] The official code for "Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation"
  ☆27Updated 3 years ago
• luozhengrong / HDC-Net
  HDC-Net: Hierarchical Decoupled Convolution Network for Brain Tumor Segmentation
  ☆33Updated 5 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
• ReaFly / ACSNet
  MICCAI 2020 : Adaptive Context Selection for Polyp Segmentation (Pytorch implementation).
  ☆56Updated 4 years ago
• fitushar / WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature
  This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolu…
  ☆25Updated 5 years ago
• sunfan-bvb / BoundaryDoULoss
  Code for Boundary Difference Over Union Loss For Medical Image Segmentation
  ☆55Updated 2 years ago
• koncle / CoraNet
  ☆55Updated 3 years ago
• Dootmaan / PFSeg
  Patch-free 3D Medical Image Segmentation
  ☆35Updated 3 years ago
• grant-jpg / FUSSNet
  The code repo for "FUSSNet: Fusing Two Sources of Uncertainty forSemi-Supervised Medical Image Segmentation"
  ☆14Updated 3 years ago
• YaoZhang93 / MAML
  [MICCAI 2021] The official code for "Modality-aware Mutual Learning for Multi-modal Medical Image Segmentation"
  ☆47Updated 3 years ago
• PengchengShi1220 / cbDice
  [MICCAI 2024] Centerline Boundary Dice Loss for Vascular Segmentation
  ☆64Updated 6 months ago
• lemoshu / MTCL
  [MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning
  ☆76Updated last year
• zzw-szu / CDCL
  ☆39Updated 3 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
• JingyeChen / MT-TransUNet
  ☆21Updated 3 years ago
• by-liu / SegLossBias
  Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…
  ☆41Updated last year
• honglianghe / CDNet
  ICCV2021-CDNet: Centripetal Direction Network for Nuclear Instance Segmentation
  ☆29Updated 3 years ago