Awesome anomaly detection in medical images

Overview

Awesome Anomaly Detection in Medical Images

A curated list of awesome anomaly detection works in medical imaging, inspired by the other awesome-* initiatives.

For a complete list of anomaly detection in general computer vision, please visit awesome anomaly detection.

--- Last updated: Jan. 9, 2021 ---

To complement or correct it, please contact me at zhoukang [at] shanghaitech [dot] edu [dot] cn or send a pull request.

Overview

Deep learning based methods

Brain MRI

  • [Alex et. al.] [Generative adversarial networks for brain lesion detection] [Medical Imaging 2017: Image Processing] [google scholar] [pdf]
  • [Chen et. al.] [Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders] [MIDL'18] [google scholar] [pdf]
  • [Chen et. al.] [Deep generative models in the real-world: An open challenge from medical imaging] [arxiv, 2018] [google scholar] [pdf]
  • [Chen et. al.] [Unsupervised lesion detection via image restoration with a normative prior] [MIA, 2020] [google scholar] [pdf]
  • [Baur et. al.] [Deep Autoencoding Models for Unsupervised Anomaly Segmentation in Brain MR Images] [MICCAI'18 workshop] [google scholar] [pdf]
  • [Baur et. al.] [Fusing unsupervised and supervised deep learning for white matter lesion segmentation] [MIDL'19] [google scholar] [pdf]
  • [Baur et. al.] [Bayesian Skip-Autoencoders for Unsupervised Hyperintense Anomaly Detection in High Resolution Brain Mri] [ISBI'20] [google scholar] [pdf]
  • [Baur et. al.] [Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study] [arxiv, 2020] [google scholar] [pdf]
  • [Baur et. al.] [Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI] [MICCAI'20] [google scholar] [pdf]
  • [Zimmerer et. al.] [Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection] [MIDL'19] [google scholar] [pdf]
  • [Zimmerer et. al.] [Unsupervised Anomaly Localization using Variational Auto-Encoders] [MICCAI'19] [google scholar] [pdf]
  • [Zimmerer et. al.] [High-and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection] [arxiv, 2019] [google scholar] [pdf]
  • [Han et. al.] [MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction] [arxiv, 2020] [google scholar] [pdf]
  • [Zhou et. al.] [Unsupervised anomaly localization using VAE and beta-VAE] [arxiv, 2020] [google scholar] [pdf]

Brain CT

  • [Pawlowski et. al.] [Unsupervised lesion detection in brain CT using bayesian convolutional autoencoders] [MIDL'18] [google scholar] [pdf]

Retinal OCT

  • [Schlegl et. al.] [Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery (AnoGAN)] [IPMI'17] [google scholar] [pdf][unofficial code]
  • [Schlegl et. al.] [f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks] [MIA, 2019] [google scholar] [pdf][code]
  • [Seebock et. al.] [Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT] [TMI, 2019] [google scholar] [pdf]
  • [Zhang et. al.] [Memory-Augmented Anomaly Generative Adversarial Network for Retinal OCT Images Screening] [ISBI'20] [google scholar] [pdf]
  • [Zhou et. al.] [Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image] [ISBI'20] [google scholar] [pdf]
  • [Zhou et. al.] [Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images] [ECCV'20] [pdf][code]

Retinal fundus

  • [Zhou et. al.] [Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images] [ECCV'20] [pdf][code]

Chest X-Ray in CT

  • [Tang et. al.] [Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier] [ISBI'19] [google scholar] [pdf]
  • [Zhang et. al.] [Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly Detection] [arxiv, 2020] [google scholar] [pdf]
  • [Wolleb et. al.] [DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision] [MICCAI'20] [google scholar] [pdf][code]

Other modalities

Non-deep learning based methods

Brain MRI

  • [Chen et. al.] [Unsupervised Lesion Detection with Locally Gaussian Approximation] [MLMI'19] [google scholar] [pdf]

Some works that related to anomaly detection

  • [Zhang et. al.] [Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms] [ICCV'19] [google scholar] [pdf]
  • [Siddiquee et. al.] [Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization] [ICCV'19] [google scholar] [pdf]

Not yet public

  • [SteGANomaly: Inhibiting CycleGAN Steganography for Unsupervised Anomaly Detection in Brain MRI] [MICCAI'20]
  • [SALAD: Self-Supervised Aggregation Learning for Anomaly Detection on X-Rays] [MICCAI'20]
  • [Robust Layer Segmentation against Complex Retinal Abnormalities for en face OCTA Generation] [MICCAI'20]
  • [Abnormality Detection on Chest X-ray Using Uncertainty Prediction Auto-Encoders] [MICCAI'20]
Owner
Kang Zhou
Kang Zhou
A pure pytorch implemented ocr project including text detection and recognition

ocr.pytorch A pure pytorch implemented ocr project. Text detection is based CTPN and text recognition is based CRNN. More detection and recognition me

coura 444 Dec 30, 2022
Handwritten Number Recognition using CNN and Character Segmentation

Handwritten-Number-Recognition-With-Image-Segmentation Info About this repository This Repository is aimed at reading handwritten images of numbers an

Sparsha Saha 17 Aug 25, 2022
Handwritten Character Recognition using CNN

Handwritten Character Recognition using CNN Problem Definition The main objective of this project is to solve the problem of handwritten character rec

Mohit Kaushik 4 Mar 02, 2022
Some bits of javascript to transcribe scanned pages using PageXML

nashi (nasḫī) Some bits of javascript to transcribe scanned pages using PageXML. Both ltr and rtl languages are supported. Try it! But wait, there's m

Andreas Büttner 15 Nov 09, 2022
Validate and transform various OCR file formats (hOCR, ALTO, PAGE, FineReader)

ocr-fileformat Validate and transform between OCR file formats (hOCR, ALTO, PAGE, FineReader) Installation Docker System-wide Usage CLI GUI API Transf

Universitätsbibliothek Mannheim 152 Dec 20, 2022
Random maze generator and solver

Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the

Daniel Pérez 10 Sep 23, 2022
Motion Detection Squid Game with OpenCV Python

*Motion Detection Squid Game with OpenCV Python i am newbie in python. In this project I made a simple game to follow the trend about the red light gr

Nayan 17 Nov 22, 2022
Geometric Augmentation for Text Image

Text Image Augmentation A general geometric augmentation tool for text images in the CVPR 2020 paper "Learn to Augment: Joint Data Augmentation and Ne

Canjie Luo 440 Jan 05, 2023
A toolbox of scene text detection and recognition

FudanOCR This toolbox contains the implementations of the following papers: Scene Text Telescope: Text-Focused Scene Image Super-Resolution [Chen et a

FudanVIC Team 170 Dec 26, 2022
Autonomous Driving project for Euro Truck Simulator 2

hope-autonomous-driving Autonomous Driving project for Euro Truck Simulator 2 Video: How is it working ? In this video, the program processes the imag

Umut Görkem Kocabaş 36 Nov 06, 2022
Pre-Recognize Library - library with algorithms for improving OCR quality.

PRLib - Pre-Recognition Library. The main aim of the library - prepare image for recogntion. Image processing can really help to improve recognition q

Alex 80 Dec 30, 2022
list all open dataset about ocr.

ocr-open-dataset list all open dataset about ocr. printed dataset year Born-Digital Images (Web and Email) 2011-2015 COCO-Text 2017 Text Extraction fr

hongbomin 95 Nov 24, 2022
How to detect objects in real time by using Jupyter Notebook and Neural Networks , by using Yolo3

Real Time Object Recognition From your Screen Desktop . In this post, I will explain how to build a simply program to detect objects from you desktop

Ruslan Magana Vsevolodovna 2 Sep 28, 2022
Face Anonymizer - FaceAnonApp v1.0

Face Anonymizer - FaceAnonApp v1.0 Blur faces from image and video files in /data/files folder. Contents Repo of the source files for the FaceAnonApp.

6 Apr 18, 2022
Neural search engine for AI papers

Papers search Neural search engine for ML papers. Demo Usage is simple: input an abstract, get the matching papers. The following demo also showcases

Giancarlo Fissore 44 Dec 24, 2022
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).

OCR Resources This repository contains a collection of resources (including the papers and datasets) of OCR (Optical Character Recognition). Contents

Zuming Huang 363 Jan 03, 2023
This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the robots of the future.

This is a repository to learn and get more computer vision skills, make robotics projects integrating the computer vision as a perception tool and create a lot of awesome advanced controllers for the

Elkin Javier Guerra Galeano 17 Nov 03, 2022
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation

TimeLens: Event-based Video Frame Interpolation This repository is about the High Speed Event and RGB (HS-ERGB) dataset, used in the 2021 CVPR paper T

Robotics and Perception Group 544 Dec 19, 2022
ERQA - Edge Restoration Quality Assessment

ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR, deblurring, denoising, etc) are restoring real details.

MSU Video Group 27 Dec 17, 2022
A real-time dolly zoom camera effect

Dolly-Zoom I've always been amazed by the gradual perspective change of dolly zoom, and I have some experience in python and OpenCV, so I decided to c

Dylan Kai Lau 52 Dec 08, 2022