Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

A copy of Mura when it was still open-source in August 2020

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

Analysis of Abnormality in Humerus X-Ray images using DenseNet

Musculoskeletal Radiographs Abnormality Detection (MURA)

Plugin for adding and managing iFrames in Mura 7.x sites.

DenseNet MURA

An in-memory SQL Query Compiler built on Apache Arrow

This is a [Mura](http://www.getmura.com/) Module for implementing [Multi-Factor Authentication](https://en.wikipedia.org/wiki/Multi-factor_authentication).

Research project using Standford's Musculoskeletal Radiographs (MURA) dataset to detect Abnormality

Musculoskeletal Radiographs Abnormality Detection using Stanford MURA dataset.

Our project focuses on the development of an advanced X-ray anomaly detection system utilizing cutting-edge AI technologies. Leveraging the powerful Inception V3 model architecture implemented in TensorFlow, we aim to enhance medical diagnosis accuracy using the MURA dataset. By harnessing deep learning techniques, we empower healthcare profession

Generates Google News Sitemaps for Mura CMS websites (Mod of Meld-Google-Sitemaps plugin from Meld Solutions.)

Binary Classification for normal/abnormal X-ray images on XR_SHOULDER of MURA Data set

Densenet and Other Models on the MURA (musculoskeletal radiographs) Dataset using Flux

These files were used in the Intro To Mura 7 Display Objects presentation at MuraCon 2017.

Add Google schema to page heads on Mura CMS sites https://www.getmura.com/

This is a Masa CMS Module for implementing Multi-Factor Authentication.

Binary Classification into normal/abnormal X-rays of XR_SHOULDER of MURA dataset.

No description provided.

DenseNet-169 for MURA Hand — study-level pipeline with per-study aggregation, weighted BCE, Adam, and simple augmentations (PyTorch).