Uniformizing Techniques to Process CT scans with 3D CNNs for
Tuberculosis Prediction

Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction

26 July 2020

Nabeel Mohammed

Joseph Paul Cohen

Papers citing "Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction"

15 / 15 papers shown

Title
LMLCC-Net: A Semi-Supervised Deep Learning Model for Lung Nodule Malignancy Prediction from CT Scans using a Novel Hounsfield Unit-Based Intensity Filtering Adhora Madhuri Nusaiba Sobir Tasnia Binte Mamun Taufiq Hasan 21 0 0 09 May 2025
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans Xueyang Li Han Xiao Weixiang Weng Xiaowei Xu Yiyu Shi 65 0 0 02 Dec 2024
Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression Qian Shao Kai Zhang Bang Du Z. Li YiXuan Wu Qiyuan Chen Jian Wu J. Chen Honghao Gao Hongxia Xu 64 0 0 02 Dec 2024
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging Mariusz Wi'sniewski Loris Giulivi Giacomo Boracchi 21 1 0 23 May 2024
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT Hanem Ellethy Shekhar S. Chandra Viktor Vegh 19 1 0 23 Nov 2023
Interpretable 3D Multi-Modal Residual Convolutional Neural Network for Mild Traumatic Brain Injury Diagnosis Hanem Ellethy Viktor Vegh Shekhar S. Chandra 15 4 0 22 Sep 2023
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture Amanda A. Boatswain Jacques Abdoulaye Baniré Diallo Etienne Lord 12 2 0 31 May 2023
A Domain Decomposition-Based CNN-DNN Architecture for Model Parallel Training Applied to Image Recognition Problems A. Klawonn M. Lanser J. Weber OOD 16 6 0 13 Feb 2023
Improving Computed Tomography (CT) Reconstruction via 3D Shape Induction Elena Sizikova Xu Cao A. Lewis K. Moise Megan Coffee 17 3 0 23 Aug 2022
Interpretable Fusion Analytics Framework for fMRI Connectivity: Self-Attention Mechanism and Latent Space Item-Response Model Jeongjae Kim Yeseul Jeon Sumin Yu Junggu Choi Sanghoon Han FedML 13 0 0 04 Jul 2022
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images Yibin Wang Abdur Rahman W. Duggar P. R. Roberts T. V. Thomas L. Bian Haifeng Wang 21 6 0 03 Jan 2022
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images Ashia Lewis Evanjelin Mahmoodi Yuyue Zhou Megan Coffee Elena Sizikova LM&MA 25 9 0 23 Sep 2021
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis Harshala Gammulle Tharindu Fernando S. Sridharan Simon Denman Clinton Fookes 20 3 0 09 Aug 2021
ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans H. Zunair Aimon Rahman Nabeel Mohammed 17 5 0 26 May 2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images Hossein Aboutalebi Saad Abbasi M. Shafiee Alexander Wong 13 6 0 04 May 2021