Reinventing 2D Convolutions for 3D Images

24 November 2019

Papers citing "Reinventing 2D Convolutions for 3D Images"

4 / 4 papers shown

Title
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices Shu Zhen Zhang Jincheng Xu Yu-Chun Chen Jiechao Ma Zihao Li Yizhou Wang Yizhou Yu MedIm 30 18 0 16 Dec 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 42 84 0 05 Sep 2020
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression Jinzheng Cai K. Yan Chi-Tung Cheng Jing Xiao Chien-Hung Liao Le Lu Adam P. Harrison 3DPC MedIm 41 19 0 30 Aug 2020
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 340 10,633 0 19 Feb 2017