DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection

6 April 2019

Papers citing "DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection"

7 / 7 papers shown

Title
Unsupervised Cross-domain Pulmonary Nodule Detection without Source Data Rui Xu Yong Luo Bo Du OOD 32 1 0 03 Apr 2023
Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks A. Dobshik S. Verbitskiy I. Pestunov K. Sherman Yuriy Sinyavskiy A. Tulupov V. Berikov 26 6 0 17 Jan 2023
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning S. Aslani P. Alluri E. Gudmundsson E. Chandy J. McCabe ... Rahul Chakkara A. Nair Daniel C. Alexander Summit consortium Joseph Jacob 19 4 0 30 Mar 2022
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training Engin Dikici X. V. Nguyen M. Bigelow J. Ryu Luciano M Prevedello 16 7 0 10 Nov 2021
End-to-end lung nodule detection framework with model-based feature projection block I. Drokin Elena Ericheva 18 4 0 10 Jun 2021
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans I. Drokin Elena Ericheva 3DPC 20 8 0 07 May 2020
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 57 185 0 11 Jun 2018