Thoracic Disease Classification

3 papers with code • 0 benchmarks • 0 datasets

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Latest papers without code

Anatomy X-Net: A Semi-Supervised Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification

no code yet • 10 Jun 2021

We leverage a semi-supervised learning method using the JSRT dataset containing organ-level annotation to obtain the anatomical segmentation masks (for lungs and heart) for the NIH and CheXpert datasets.

Thoracic Disease Classification

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs

no code yet • 21 Apr 2021

Then, we compared the models' internal performance on the lesion localization task and showed that CheXDet achieved significantly better performance than CheXNet even when given 80% less training data.

Decision Making General Classification +1

Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

no code yet • 21 Jul 2020

Automated disease classification of radiology images has been emerging as a promising technique to support clinical diagnosis and treatment planning.

General Classification Image Classification +1

Deep Mining External Imperfect Data for Chest X-ray Disease Screening

no code yet • 6 Jun 2020

Recent researches have demonstrated that performance bottleneck exists in joint training on different CXR datasets, and few made efforts to address the obstacle.

General Classification Thoracic Disease Classification

SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images

no code yet • 30 Oct 2018

Two CNN-based classification models were then used as feature extractors to obtain the discriminative features of the entire CXR images and the cropped lung region images.

General Classification Thoracic Disease Classification

Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization

no code yet • 17 Aug 2018

We present and evaluate a new deep neural network architecture for automatic thoracic disease detection on chest X-rays.

General Classification Image Classification +2

Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays

no code yet • 16 Jul 2018

Chest X-rays is one of the most commonly available and affordable radiological examinations in clinical practice.

General Classification Thoracic Disease Classification