\rev{This paper presents \myalgoname, a new convolutional neural network (CNN) architecture that improves the capabilities of CNN-based pipelines for knee injury detection via magnetic resonance imaging (MRI). 
Existing works showed that anomalies are localized in small-sized knee regions that appear in particular areas of MRI scans.
Based on such facts, \myalgoname\ exploits a Feature Pyramid Network to enhance small appearing features and Pyramidal Detail Pooling to capture such relevant information in a robust way.
Experimental results on two publicly available datasets demonstrate that \myalgoname\ improves the ACL tear and meniscal tear diagnosis capabilities of two state-of-the-art methodologies. Code is available at \codelink.}
