Computer-aided Tuberculosis Diagnosis with Attribute Reasoning Assistance

TL;DR

This paper introduces a new large-scale TB X-ray dataset and an attribute-assisted weakly-supervised framework that improves TB classification and localization by leveraging attribute information, reducing reliance on detailed annotations.

Contribution

The paper presents a novel TBX-Att dataset with attribute annotations and a multi-scale feature interaction model for weakly-supervised TB detection and classification.

Findings

Effective TB classification and localization using attribute reasoning.

The proposed model outperforms baseline methods on the TBX-Att dataset.

Provides a solid baseline for future weakly-supervised TB diagnosis research.

Abstract

Although deep learning algorithms have been intensively developed for computer-aided tuberculosis diagnosis (CTD), they mainly depend on carefully annotated datasets, leading to much time and resource consumption. Weakly supervised learning (WSL), which leverages coarse-grained labels to accomplish fine-grained tasks, has the potential to solve this problem. In this paper, we first propose a new large-scale tuberculosis (TB) chest X-ray dataset, namely the tuberculosis chest X-ray attribute dataset (TBX-Att), and then establish an attribute-assisted weakly-supervised framework to classify and localize TB by leveraging the attribute information to overcome the insufficiency of supervision in WSL scenarios. Specifically, first, the TBX-Att dataset contains 2000 X-ray images with seven kinds of attributes for TB relational reasoning, which are annotated by experienced radiologists. It also includes the public TBX11K dataset with 11200 X-ray images to facilitate weakly supervised detection. Second, we exploit a multi-scale feature interaction model for TB area classification and detection with attribute relational reasoning. The proposed model is evaluated on the TBX-Att dataset and will serve as a solid baseline for future research. The code and data will be available at https://github.com/GangmingZhao/tb-attribute-weak-localization.