Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays

7 February 2020

Papers citing "Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays"

5 / 5 papers shown

Title
MedCoDi-M: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation Daniele Molino Francesco Di Feola E. Faiella Deborah Fazzini D. Santucci Linlin Shen V. Guarrasi Paolo Soda SyDa MedIm 71 0 0 10 Jan 2025
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection Zihao Li Shu Zhen Zhang Junge Zhang Kaiqi Huang Yizhou Wang Yizhou Yu 31 70 0 10 Sep 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 75 2,568 0 21 Jan 2019
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning Pranav Rajpurkar Jeremy Irvin Kaylie Zhu Brandon Yang Hershel Mehta ... Aarti Bagul C. Langlotz K. Shpanskaya M. Lungren A. Ng LM&MA 66 2,691 0 14 Nov 2017
Deeply-Supervised Nets Chen-Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu 243 2,229 0 18 Sep 2014