AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection

19 July 2024

Majedaldein Almahasneh

Papers citing "AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection"

20 / 20 papers shown

Title
TransBTS: Multimodal Brain Tumor Segmentation Using Transformer Wenxuan Wang Chen Chen Meng Ding Jiangyun Li Hong Yu Sen Zha ViT MedIm 94 723 0 07 Mar 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 194 2,898 0 31 Dec 2020
Resource Efficient 3D Convolutional Neural Networks Okan Kopuklu Neslihan Köse Ahmet Gunduz Gerhard Rigoll 53 188 0 04 Apr 2019
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,553 0 17 Jul 2018
BAM: Bottleneck Attention Module Jongchan Park Sanghyun Woo Joon-Young Lee In So Kweon 83 1,042 0 17 Jul 2018
Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction Petru Soviany Radu Tudor Ionescu ObjD 34 181 0 23 Mar 2018
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification Wentao Zhu Chaochun Liu Wei Fan Xiaohui Xie MedIm 42 379 0 25 Jan 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 424 26,500 0 05 Sep 2017
Dual Path Networks Yunpeng Chen Jianan Li Huaxin Xiao Xiaojie Jin Shuicheng Yan Jiashi Feng 91 829 0 06 Jul 2017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks Jia Ding Aoxue Li Zhiqiang Hu Liwei Wang MedIm 51 345 0 14 Jun 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 90 1,078 0 23 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 100 2,572 0 30 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 520 10,330 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,813 0 25 Aug 2016
Training Region-based Object Detectors with Online Hard Example Mining Abhinav Shrivastava Abhinav Gupta Ross B. Girshick ObjD 151 2,418 0 12 Apr 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,524 0 23 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 520 62,294 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,196 0 18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 326 18,625 0 06 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,386 0 04 Sep 2014