most cited3DFPN-HS: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

eess.IV2019

Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…

eess.IV2019★ 1 cited

3DFPN-HS: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…