Improving Deep Lesion Detection Using 3D Contextual and Spatial
Attention

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention

9 July 2019

Jianfei Cai

Papers citing "Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention"

8 / 8 papers shown

Title
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 162 16,337 0 17 Jul 2018
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection Ke Yan M. Bagheri Ronald M. Summers 3DV 3DPC MedIm 93 122 0 25 Jun 2018
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database Ke Yan Xiaosong Wang Le Lu Ling Zhang Adam P. Harrison M. Bagheri Ronald M. Summers MedIm 58 144 0 28 Nov 2017
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network Fangzhou Liao Ming Liang Zhe Li Xiaolin Hu Sen Song MedIm 52 419 0 22 Nov 2017
Thoracic Disease Identification and Localization with Limited Supervision Zhe Li Chong Wang Mei Han Yuan Xue Wei Wei Li Li F. Li 47 329 0 17 Nov 2017
Residual Attention Network for Image Classification Fei Wang Mengqing Jiang Chao Qian Shuo Yang Cheng Li Honggang Zhang Xiaogang Wang Xiaoou Tang 90 3,299 0 23 Apr 2017
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 81 5,627 0 20 May 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 381 61,900 0 04 Jun 2015