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Found 3 papers, 2 papers with code
Exploring Kinetic Curves Features for the Classification of Benign and Malignant Breast Lesions in DCE-MRI
In this study, we propose to fully leverage the dynamic characteristics from the kinetic curves as well as the radiomic features to boost the classification accuracy of benign and malignant breast lesions.
Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
With the aim of effectively identifying prostate cancer, we propose a framework for the classification of clinically significant prostate cancer (csPCa) from multi-modality TRUS videos.
SimPLe: Similarity-Aware Propagation Learning for Weakly-Supervised Breast Cancer Segmentation in DCE-MRI
The network first utilizes the pseudo-masks generated using the extreme points to train itself, by minimizing a contrastive loss, which encourages the network to learn more representative features for cancerous voxels.
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