Picture for Zohaib Salahuddin

Zohaib Salahuddin

Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis

Add code
Feb 28, 2022
Figure 1 for Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
Figure 2 for Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
Figure 3 for Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
Figure 4 for Precision-medicine-toolbox: An open-source python package for facilitation of quantitative medical imaging and radiomics analysis
Viaarxiv icon

Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

Nov 01, 2021
Figure 1 for Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Figure 2 for Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Figure 3 for Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Figure 4 for Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Viaarxiv icon

FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging

Sep 29, 2021
Figure 1 for FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Figure 2 for FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Viaarxiv icon

Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms

Oct 20, 2020
Figure 1 for Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Figure 2 for Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Figure 3 for Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Figure 4 for Leveraging SLIC Superpixel Segmentation and Cascaded Ensemble SVM for Fully Automated Mass Detection In Mammograms
Viaarxiv icon

Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans

Oct 02, 2020
Figure 1 for Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
Figure 2 for Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
Figure 3 for Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
Figure 4 for Multi-Resolution 3D Convolutional Neural Networks for Automatic Coronary Centerline Extraction in Cardiac CT Angiography Scans
Viaarxiv icon