Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training

When reading images, radiologists generate text reports describing the findings therein. Current state-of-the-art computer-aided diagnosis tools utilize a fixed set of predefined categories automatically extracted from these medical reports for training. This form of supervision limits the potential...

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Veröffentlicht in:	arXiv.org 2022-05
Hauptverfasser:	Seibold, Constantin, Reiß, Simon, M Saquib Sarfraz, Stiefelhagen, Rainer, Kleesiek, Jens
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Classification Classifiers Coders Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Free form Object recognition Supervision Training
Online-Zugang:	Volltext
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