Alternatives and similar repositories for MAE-medical-anomaly-detection

Users that are interested in MAE-medical-anomaly-detection are comparing it to the libraries listed below

• ci-ber / RA
  Generalizing Unsupervised Anomaly Detection: Towards Unbiased Pathology Screening. #MIDL2023.
  ☆26Updated last year
• jusiro / constrained_anomaly_segmentation
  [MedIA'22] Constrained unsupervised anomaly segmentation.
  ☆20Updated 2 years ago
• FinnBehrendt / Conditioned-Diffusion-Models-UAD
  Codebase for Conditioned Diffusion Models for Unsupervised Anomaly Detection
  ☆21Updated 5 months ago
• iolag / UPD_study
  This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.
  ☆23Updated last year
• hasan1292 / mDDPM
  Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
  ☆89Updated last year
• FinnBehrendt / patched-Diffusion-Models-UAD
  Codebase for Patched Diffusion Models for Unsupervised Anomaly Detection .
  ☆47Updated 3 months ago
• ChengyinLee / MulModSeg_2024
  Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training
  ☆17Updated 5 months ago
• guojiajeremy / EDC
  ☆14Updated last year
• AlfredQin / DB-SAM
  ☆19Updated 8 months ago
• MrGiovanni / SimSID
  [IEEE TPAMI] Anomaly Detection in Chest X-ray
  ☆20Updated 10 months ago
• tianyu0207 / CCD
  Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2…
  ☆49Updated 2 years ago
• CVIU-CSU / HRDecoder
  HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion Segmentation
  ☆17Updated 2 months ago
• boahK / DARL
  Official repository of "Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation", ICLR 2023.
  ☆65Updated 2 years ago
• LangDaniel / MAEMI
  3D masked autoencoder for anomaly detection
  ☆27Updated 3 months ago
• caiyu6666 / MedIAnomaly
  [MedIA 2025] MedIAnomaly: A comparative study of anomaly detection in medical images
  ☆53Updated 8 months ago
• FeliMe / feature-autoencoder
  Anomaly localization using autoencoder models in the feature space of a ResNet
  ☆20Updated 2 years ago
• tianyu0207 / weakly-polyp
  [MICCAI'22] Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection.
  ☆41Updated last year
• cnulab / MediCLIP
  Official implementation of "MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection (MICCAI 2024 Early Accept)"
  ☆72Updated last year
• Digital-Dermatology / t-loss
  Official code for Robust T-Loss for Medical Image Segmentation (MICCAI 2023)
  ☆50Updated last year
• RL4M / MED-PEFT
  ☆21Updated last year
• QI-NemoSong / EP-SAM
  EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment Anything
  ☆14Updated 6 months ago
• batmanlab / MICCAI-2023-Route-interpret-repeat-CXRs
  [MICCAI 2023, top 14%] Official repository of paper: Distilling BlackBox to Interpretable models for Efficient Transfer Learning
  ☆17Updated last year
• YueXin18 / MorSeg-CAM-SAM
  ☆13Updated last year
• xmed-lab / FDDM
  [MICCAI 2023] Fundus-Enhanced Disease-Aware Distillation Model for Retinal Disease Classification from OCT Images
  ☆30Updated 6 months ago
• RichardObi / pre_post_synthesis
  Official repository for "Pre- to Post-Contrast Breast MRI Synthesis for Enhanced Tumour Segmentation"
  ☆11Updated last year
• mazurowski-lab / single-image-test-time-adaptation
  Single-image test-time domain adaptation for segmentation models.
  ☆17Updated last year
• levayz / DINOv2-based-Self-Supervised-Learning
  [ISBI 2024] DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation
  ☆31Updated 11 months ago
• zuwenqiang / EPT
  This is the implementation of Embedded Prompt Tuning(EPT).
  ☆12Updated 4 months ago
• marcdcfischer / PUNet
  ☆15Updated last year
• irulenot / BC_MRI_SEG
  BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
  ☆17Updated last year