Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images

by   Shaoping Hu, et al.

An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with a risk of fatality of 4.03 Algeria and 12.67 may result in death as a consequence of substantial alveolar damage and progressive respiratory failure. Although laboratory testing, e.g., using reverse transcription polymerase chain reaction (RT-PCR), is the golden standard for clinical diagnosis, the tests may produce false negatives. Moreover, under the pandemic situation, shortage of RT-PCR testing resources may also delay the following clinical decision and treatment. Under such circumstances, chest CT imaging has become a valuable tool for both diagnosis and prognosis of COVID-19 patients. In this study, we propose a weakly supervised deep learning strategy for detecting and classifying COVID-19 infection from CT images. The proposed method can minimise the requirements of manual labelling of CT images but still be able to obtain accurate infection detection and distinguish COVID-19 from non-COVID-19 cases. Based on the promising results obtained qualitatively and quantitatively, we can envisage a wide deployment of our developed technique in large-scale clinical studies.



There are no comments yet.


page 5

page 7

page 11

page 12


Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia

We found that the real time reverse transcription-polymerase chain react...

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

Recently, the novel coronavirus 2019 (COVID-19) has caused a pandemic di...

Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images

The world is currently experiencing an ongoing pandemic of an infectious...

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging

Our motivating application is a real-world problem: COVID-19 classificat...

Weakly Supervised Attention Model for RV StrainClassification from volumetric CTPA Scans

Pulmonary embolus (PE) refers to obstruction of pulmonary arteries by bl...

Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests

One of the main challenges in containing the Coronoavirus disease 2019 (...

Diabetic Foot Ulcer Grand Challenge 2021: Evaluation and Summary

Diabetic foot ulcer classification systems use the presence of wound inf...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.