Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis
Published in Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (DLMIA 2018), 2018
MTMR-Net is a multi-task deep learning framework for automated lung nodule analysis. It jointly tackles benign-malignant classification and attribute score regression, and introduces a margin-ranking loss to improve discrimination on ambiguous cases.
Recommended citation: Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, and Pheng-Ann Heng. (2018). "Mtmr-net: Multi-task deep learning with margin ranking loss for lung nodule analysis." Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support (DLMIA 2018).
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