Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Bone fracture detection using DenseNet on MURA dataset

Source code for Microsoft Code Fun Do Hackathon organized at IIT (BHU)

Repo for Stanford's MURA Bone X-Ray Deep Learning Competition

Analysis of Abnormality in Humerus X-Ray images using DenseNet

An attempt at the Bone X-Ray Deep Learning Competition (Stanford ML Group).

Fixes 500+ mislabeled MURA images

A Keras implementation of DenseNet model on Standford's MURA dataset

Replicate MURA baseline and playing around

MURA (musculoskeletal radiographs) Deep Learning Project

Abnormality Detection in Musculoskeletal Radiographs

MuraMed is an innovative healthcare technology company that aims to revolutionize medical diagnostics with a focus on radiographs (X-Ray images). In the intricate landscape of today's healthcare, the company addresses the vital need for accurate, efficient, and swift diagnosis. MuraMed's specialization lies in detecting bone abnormalities.

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

implementing grabcut image segmentation on humerus xray images

Implementation of Hough Transform for auto rotation of xray images