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Title:

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling.

Document type:
Journal Article
Author(s):
Muller, Philip; Meissen, Felix; Kaissis, Georgios; Rueckert, Daniel
Abstract:
Weakly supervised object detection (WSup-OD) increases the usefulness and interpretability of image classification algorithms without requiring additional supervision. The successes of multiple instance learning in this task for natural images, however, do not translate well to medical images due to the very different characteristics of their objects (i.e. pathologies). In this work, we propose Weakly Supervised ROI Proposal Networks (WSRPN), a new method for generating bounding box proposals on...     »
Journal title abbreviation:
IEEE Trans Med Imaging
Year:
2024
Journal volume:
PP
Fulltext / DOI:
doi:10.1109/TMI.2024.3435015
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/39073999
Print-ISSN:
0278-0062
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski); Institut für KI und Informatik in der Medizin (Prof. Rückert)
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