InfoMask: Masked Variational Latent Representation to Localize Chest Disease

SA Taghanaki, M Havaei, T Berthier, F Dutil, L Di Jorio, G Hamarneh, Yoshua Bengio. arXiv preprint

The scarcity of richly annotated medical images is limiting supervised deep learning based solutions to medical image analysis tasks, such as localizing discriminatory radiomic disease signatures. Therefore, it is desirable to leverage unsupervised and weakly supervised models. Most recent weakly supervised localization methods apply attention maps or region proposals in a multiple instance learning formulation. While attention maps can be noisy, leading to erroneously highlighted regions, it is not simple to decide on an optimal window/bag size for multiple instance learning approaches. In this paper, we propose a learned spatial masking mechanism to filter out irrelevant background signals from attention maps. The proposed method minimizes mutual information between a masked variational representation and the input while maximizing the information between the masked representation and class labels. This results in more accurate localization of discriminatory regions. We tested the proposed model on the ChestX-ray8 dataset to localize pneumonia from chest X-ray images without using any pixel-level or bounding-box annotations.

Related posts

Digital Technology Supercluster Announces Investment to Increase the Effectiveness of Precision Oncology

Digital Technology Supercluster Announces Investment to Increase the Effectiveness of Precision Oncology

Harnessing artificial intelligence to take the guesswork out of diagnosing cancer recurrence for millions of cancer survivors

Read more
How to Bring Biomarker Testing In-House for Cancer Targeted Treatment Selection

How to Bring Biomarker Testing In-House for Cancer Targeted Treatment Selection

Personalized cancer treatment via targeted therapies is two-to-three times more effective than standard chemotherapy for patients with advan

...
Read more
Imagia Cybernetics & Canexia Health Merge to Supercharge Precision Oncology Accessibility

Imagia Cybernetics & Canexia Health Merge to Supercharge Precision Oncology Accessibility

Imagia Cybernetics, an AI-healthcare company that accelerates oncology solutions generated from real world data, today announced its merger

...
Read more