Implementation of Hough Transform for auto rotation of xray images

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

implementing grabcut image segmentation on humerus xray images

MURA (musculoskeletal radiographs) Deep Learning Project

Replicate MURA baseline and playing around

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.

Abnormality Detection in Musculoskeletal Radiographs

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

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

Fixes 500+ mislabeled MURA images

Analysis of Abnormality in Humerus X-Ray images using DenseNet

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

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

Bone fracture detection using DenseNet on MURA dataset

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