Alternatives and similar repositories for nih-chest-xray:

Users that are interested in nih-chest-xray are comparing it to the libraries listed below

• imlab-uiip / lung-segmentation-2d
  Lung fields segmentation on CXR images using convolutional neural networks.
  ☆173Updated 4 years ago
• obendidi / X-ray-classification
  X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
  ☆108Updated 6 years ago
• zdmc23 / nih-chest-xrays
  A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
  ☆35Updated 6 years ago
• riblidezso / frcnn_cad
  Computer aided detection using Faster-RCNN
  ☆104Updated 6 years ago
• DoDuy / Lung-Diseases-Classifier
  Diseases Detection from NIH Chest X-ray data
  ☆79Updated 3 years ago
• bkong999 / COVNet
  Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT
  ☆169Updated 4 years ago
• Jack-Etheredge / Brain-Tumor-Segmentation-3D-UNet-CNN
  Brain tumor segmentation using a 3D UNet CNN
  ☆108Updated 5 years ago
• jrzech / reproduce-chexnet
  Reproduce CheXNet
  ☆194Updated 2 years ago
• jadevaibhav / Brain-Tumor-Segmentation-using-Deep-Neural-networks
  Keras implementation of paper by the same name
  ☆96Updated 5 years ago
• brucechou1983 / CheXNet-Keras
  This project is a tool to build CheXNet-like models, written in Keras.
  ☆296Updated 2 years ago
• 21Vipin / Medical-Image-Classification-using-deep-learning
  Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign an…
  ☆86Updated 7 years ago
• zoogzog / chexnet
  Implementation of the CheXNet network (PyTorch)
  ☆217Updated 5 years ago
• hmchuong / ML-BoneSuppression
  ☆57Updated 6 years ago
• imedslab / DeepKnee
  Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
  ☆66Updated last year
• usuyama / pydata-medical-image
  A Deep Learning talk+tutorial for medical image processing
  ☆78Updated 7 years ago
• codedecde / Luna2016-Lung-Nodule-Detection
  Course Project for Bio Medical Imaging: Detecting Lung Nodules from CT Scans
  ☆50Updated 7 years ago
• frankkramer-lab / covid19.MIScnn
  Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
  ☆92Updated last year
• MEDAL-IITB / Lung-Segmentation
  Segmentation of Lungs from Chest X-Rays using Fully Connected Networks
  ☆56Updated 6 years ago
• imlab-uiip / lung-segmentation-3d
  Lung fields segmentation on tomography images using convolutional neural networks.
  ☆98Updated 7 years ago
• slowvak / MachineLearningForMedicalImages
  Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
  ☆99Updated 7 years ago
• dattran2346 / chestX-ray-14
  Segmentation Guided Thoracic Classification
  ☆52Updated 4 years ago
• taoyilee / Keras_MedicalImgAI
  ☆23Updated 6 years ago
• alexattia / Medical-Image-Analysis
  Detection and segmentation of the Left Ventricle in Cardiac MRI using Deep Learning and Deformable models
  ☆55Updated 7 years ago
• BRML / CNNbasedMedicalSegmentation
  Code for reproducing the results of our paper on CNN-based medical image segmentation
  ☆87Updated 7 years ago
• ben-heil / DICOM-CNN
  Convolutional neural network solution for deep learning from DICOM images
  ☆59Updated 5 years ago
• Issam28 / Brain-tumor-segmentation
  A deep learning based approach for brain tumor MRI segmentation.
  ☆195Updated 5 years ago
• swethasubramanian / LungCancerDetection
  Use CNN to detect nodules in LIDC dataset.
  ☆237Updated 5 years ago
• harsh1795 / CNN-DICOM-Segmentation
  DICOM Image Segmentation with CNNs in Tensorflow
  ☆94Updated 6 years ago
• paloukari / NIH-Chest-X-rays-Classification
  ☆59Updated 5 years ago
• mr7495 / COVID-CTset
  Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588
  ☆86Updated 3 years ago