uci-cbcl/ChestXRay

Name: ChestXRay

Owner: Computational Biology and Computational Learning @ UCI

Description: null

Created: 2018-01-31 17:54:44.0

Updated: 2018-05-22 17:42:21.0

Pushed: 2018-04-13 06:46:12.0

Homepage: null

Size: 3936

Language: Jupyter Notebook

GitHub Committers

UserMost Recent Commit# Commits

Other Committers

UserEmailMost Recent Commit# Commits

README

ChestXRay

  1. Instruction

    Before runing the codes, please read the file named “Instructions”.

  2. Results

Class |Pathology |Standford |Our implement ———— | ————- |————–|———— 0|Atelectasis | 0.8209 |0.8104 1|Cardiomegaly | 0.9048 |0.9085 2|Consolidation | 0.7939 |0.7932 3|Edema| 0.8932 |0.8894 4|Effusion | 0.8831 |0.8863 5|Emphysema | 0.9260 |0.9041 6|Fibrosis | 0.8044 |0.8288 7|Hernia | 0.9387 |0.9659 8|Infiltration | 0.7204 |0.7024 9|Mass | 0.8618 |0.8611 10|Nodule | 0.7766 |0.7687 11|Pleural Thickening | 0.8138 |0.8010 12|Pneumonia | 0.7632 |0.7597 13|Pneumothorax | 0.8932 |0.8787

  1. Reference

    The images, Data_Entry_2017.csv and papers could be downloaded at https://nihcc.app.box.com/v/ChestXray-NIHCC .


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.