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Maha Sharkas

Showing results (1-10 of 9) with videos related to

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Contrast Media & Molecular Imaging|October 8, 2021
Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features CategoriesOmneya Attallah, Maha Sharkas
Peerj. Computer Science|April 5, 2021
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseasesOmneya Attallah, Maha Sharkas
Scientific Reports|March 23, 2024
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transformMaha Sharkas, Omneya Attallah
Diagnostics (Basel, Switzerland)|November 14, 2019
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple ClassifiersDina A Ragab, Maha Sharkas, Omneya Attallah
Peerj|October 16, 2020
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networksOmneya Attallah, Dina A Ragab, Maha Sharkas
Peerj. Computer Science|April 5, 2021
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scansShimaa El-Bana, Ahmad Al-Kabbany, Maha Sharkas
Peerj|February 5, 2019
Breast cancer detection using deep convolutional neural networks and support vector machinesDina A Ragab, Maha Sharkas, Stephen Marshall, et al.
Diagnostics (Basel, Switzerland)|March 4, 2020
A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT ScansShimaa El-Bana, Ahmad Al-Kabbany, Maha Sharkas
Computers in Biology and Medicine|February 8, 2021
A framework for breast cancer classification using Multi-DCNNsDina A Ragab, Omneya Attallah, Maha Sharkas, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Contrast Media & Molecular Imaging|October 8, 2021
Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features CategoriesOmneya Attallah, Maha Sharkas
Peerj. Computer Science|April 5, 2021
GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseasesOmneya Attallah, Maha Sharkas
Scientific Reports|March 23, 2024
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transformMaha Sharkas, Omneya Attallah
Diagnostics (Basel, Switzerland)|November 14, 2019
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple ClassifiersDina A Ragab, Maha Sharkas, Omneya Attallah
Peerj|October 16, 2020
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networksOmneya Attallah, Dina A Ragab, Maha Sharkas
Peerj. Computer Science|April 5, 2021
A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scansShimaa El-Bana, Ahmad Al-Kabbany, Maha Sharkas
Peerj|February 5, 2019
Breast cancer detection using deep convolutional neural networks and support vector machinesDina A Ragab, Maha Sharkas, Stephen Marshall, et al.
Diagnostics (Basel, Switzerland)|March 4, 2020
A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT ScansShimaa El-Bana, Ahmad Al-Kabbany, Maha Sharkas
Computers in Biology and Medicine|February 8, 2021
A framework for breast cancer classification using Multi-DCNNsDina A Ragab, Omneya Attallah, Maha Sharkas, et al.
Pageof 1