Chest X-ray classifier 了解更多
销售价格: N/A
商品编号: AI-PUL-390-1188
软件语言: 英文
器械分类: II
生产厂家: Quibim
公司网址: https://quibim.com/
认证信息: CE
系统要求: Windows
交付方式: 下载安装
  • 软件概览
  • 推荐配置
  • 典型病例
  • 软件教程
  • 临床文献
  • 用户评价
  • 产品彩页

软件概览

1653037956851.png

DESCRIPTION

Quibim has developed the Chest X-ray Classifier to help radiology departments be more efficient. This AI-fueled app is able to automatically identify PA/AP acquisitions and estimate the presence probability of 15 different findings in chest radiographs. Once these 15 probabilities are calculated, the classifier combines them to quantify the final abnormal probability of an image.

The app provides heatmaps that are displayed over the analyzed radiographs and that show the level of influence of each region of an image in the final abnormality score. By segmenting both lungs, the app extracts textural features to foster posterior radiomic studies.

Quibim’s app helps radiologists deal with the large volumes of chest radiographs that are generated in health centers every day, by prioritizing potentially pathological cases.

DISEASES

  • Atelectasis

  • Cardiomegaly

  • Consolidation

  • Edema

  • Emphysema

  • Enlarged Cardiomediastinum

  • Fibrosis

  • Fracture

  • Hernia

  • Lung lesion

  • Lung opacity

  • Pleural effusion

  • Pleural thickening

  • Pneumothorax

REFERENCES

Rajpurkar P, et al. CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning. CoRR. 2017;1711.05225.

Wang X, et al. ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. IEEE CVPR. 2017;3462-3471

Simonyan K, et al. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv. 2015;1409.1556

Zhou B, et al. Learning Deep Features for Discriminative Localization. IEEE CVPR. 2016;2921–2929.


推荐配置

典型病例

软件教程

临床文献

用户评价

产品彩页

请完善个人信息

非常抱歉,您只有购买软件后才能查看完整软件教程!

看了此商品的会员还在看
测试版
版本号 软件大小 下载地址
正式版
版本号 软件大小 下载地址