x-ray-images
There are 106 repositories under x-ray-images topic.
caiyuanhao1998/SAX-NeRF
"Structure-Aware Sparse-View X-ray 3D Reconstruction" (CVPR 2024) - A Toolbox for CT reconstruction and X-ray Novel View Synthesis
caiyuanhao1998/X-Gaussian
"Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis" (ECCV 2024)
SerdarHelli/Segmentation-of-Teeth-in-Panoramic-X-ray-Image-Using-U-Net
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning method with U-Net Model and binary image analysis in order to provide diagnostic information for the management of dental disorders, diseases, and conditions.
obendidi/X-ray-classification
X-ray Images (Chest images) analysis and anomaly detection using Transfer learning with inception v2
NeelBhowmik/xray
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
Ruyi-Zha/r2_gaussian
"Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction" (NeurIPS 2024)
v7labs/covid-19-xray-dataset
12000+ manually drawn pixel-level lung segmentations, with and without covid
LaurentVeyssier/Chest-X-Ray-Medical-Diagnosis-with-Deep-Learning
Use Deep Learning model to diagnose 14 pathologies on Chest X-Ray and use GradCAM Model Interpretation Method
PingjunChen/GradingKneeOA
Knee Osteoarthritis Analysis with X-ray Images using CNN
GeneralBlockchain/covid-19-chest-xray-segmentations-dataset
Lung Segmentations of COVID-19 Chest X-ray Dataset.
YashShende/Pneumonia_Detection
A Flask Pneumonia Detection web app from chest X-Ray Images using CNN
computervision-xray-testing/pyxvis
Official Python implementation for XVis Toolbox release with the book Computer Vision for X-Ray Testing.
Bidur-Khanal/SpineCurvEst
This is our working repository for the project - spine curvature estimation. It contains all the implementation codes and results of our approach.
computervision-xray-testing/pybalu
Python implementation for Balu, a computer vision, pattern recognition and image processing library. Originally implemented in matlab by Domingo Mery.
sagnik1511/U-Net-Reduced-with-TF-keras
Complete U-net Implementation with keras
GeneralBlockchain/covid-19-chest-xray-lung-bounding-boxes-dataset
Lung Bounding Boxes of COVID-19 Chest X-ray Dataset.
mafda/knee_OA_dl_app
Web app to predict knee osteoarthritis grade using Deep Learning and Streamlit
LPAIS/Xray-PI
an X-ray image dataset for prohibited item segmentation
lchaloupsky/Medical-Reports-Generator
GPT-2 based medical reports generator for X-ray images in Czech.
Hawk453/MURA-DenseNet-Humerus
Analysis of Abnormality in Humerus X-Ray images using DenseNet
basf/pytopas
Bruker's TOPAS X-ray diffraction calculations parser
jaku-jaku/covid-xray-detection
Award-winning covid x-ray detection, with over 90% SP PP PN SN and 99% training and validation accuracies.
European-XFEL/EXtra-geom
Use EuXFEL detector geometry to assemble images
Jalalbaim/Classify-X-rays-with-CNN
X-rays classification using deep learning
Pegah-Ardehkhani/Pneumonia-Diagnosis-in-Chest-X-ray-Images
Detect Pneumonia Using Deep Learning Models (CNN and InceptionV3)
sawsanowa/LL3rdM-Segmentation-Detection-Extraction
Using deep learning a U-net architecture is used to make segmentation, detection, and extraction of the lower left third molar. The result of the proposed U-net is compared with Attention U-net and U-net++.
avm-debatr/bagganhq
Code for StyleGAN-based simulation of X-ray baggage images for security screening
luckyos-code/DP-X-COVID
Privacy-preserving detection of COVID-19 in X-ray images using differential privacy and deep learning (CNN)
sjdonado/covid19-xray-detector
Data mining final assignment
Vargha-Kh/Covid-19-detection
This repository serves as a hub for resources, code, and explanations related to COVID-19 detection leveraging active learning. Active learning, a powerful machine learning paradigm, plays a pivotal role in optimizing the labeling process, enhancing model performance, and making the most of limited labeled data.
antoniogonzalezai/X-ray-dental-reconstruction-algorithm
Agorithm for image reconstruction using deep neural networks
NeelBhowmik/xrayvision-benchmark
XrayVision Benchmark: Benchmarking of X-ray Security Imaging Datasets
Pragyanstha/rayemb
[ACCV 2024 (Oral)] Official Implementation of "RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace", Pragyan Shrestha, Chun Xie, Yuichi Yoshii, Itaru Kitahara