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Tahira Nazir

Showing results (1-10 of 18) with videos related to

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Frontiers in Medicine|September 16, 2022
AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray diseaseSaleh Albahli, Tahira Nazir
Bioengineering (Basel, Switzerland)|October 28, 2023
A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological ImagesSaleh Albahli, Tahira Nazir
Computers in Biology and Medicine|January 3, 2025
Attention-guided CenterNet deep learning approach for lung cancer detectionHussain Dawood, Marriam Nawaz, Muhammad U Ilyas, et al.
Medical & Biological Engineering & Computing|April 29, 2024
Recognition of diabetic retinopathy and macular edema using deep learningFathe Jeribi, Tahira Nazir, Marriam Nawaz, et al.
Artificial Intelligence in Medicine|October 14, 2019
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machinesTahira Nazir, Aun Irtaza, Zain Shabbir, et al.
Scientific Reports|November 4, 2022
A robust deep learning approach for tomato plant leaf disease localization and classificationMarriam Nawaz, Tahira Nazir, Ali Javed, et al.
Computational and Mathematical Methods in Medicine|October 24, 2022
MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy <i>K</i>-Means ClusteringMarriam Nawaz, Tahira Nazir, Muhammad Attique Khan, et al.
International Journal of Injury Control and Safety Promotion|July 1, 2014
Driving behaviours, traffic risk and road safety: comparative study between Malaysia and SingaporeSaif ur Rehman Khan, Zainab Binti Khalifah, Yasin Munir, et al.
Microscopy Research and Technique|August 27, 2021
Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clusteringMarriam Nawaz, Zahid Mehmood, Tahira Nazir, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet ModelMarriam Nawaz, Tahira Nazir, Jamel Baili, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Frontiers in Medicine|September 16, 2022
AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray diseaseSaleh Albahli, Tahira Nazir
Bioengineering (Basel, Switzerland)|October 28, 2023
A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological ImagesSaleh Albahli, Tahira Nazir
Computers in Biology and Medicine|January 3, 2025
Attention-guided CenterNet deep learning approach for lung cancer detectionHussain Dawood, Marriam Nawaz, Muhammad U Ilyas, et al.
Medical & Biological Engineering & Computing|April 29, 2024
Recognition of diabetic retinopathy and macular edema using deep learningFathe Jeribi, Tahira Nazir, Marriam Nawaz, et al.
Artificial Intelligence in Medicine|October 14, 2019
Diabetic retinopathy detection through novel tetragonal local octa patterns and extreme learning machinesTahira Nazir, Aun Irtaza, Zain Shabbir, et al.
Scientific Reports|November 4, 2022
A robust deep learning approach for tomato plant leaf disease localization and classificationMarriam Nawaz, Tahira Nazir, Ali Javed, et al.
Computational and Mathematical Methods in Medicine|October 24, 2022
MSeg-Net: A Melanoma Mole Segmentation Network Using CornerNet and Fuzzy <i>K</i>-Means ClusteringMarriam Nawaz, Tahira Nazir, Muhammad Attique Khan, et al.
International Journal of Injury Control and Safety Promotion|July 1, 2014
Driving behaviours, traffic risk and road safety: comparative study between Malaysia and SingaporeSaif ur Rehman Khan, Zainab Binti Khalifah, Yasin Munir, et al.
Microscopy Research and Technique|August 27, 2021
Skin cancer detection from dermoscopic images using deep learning and fuzzy k-means clusteringMarriam Nawaz, Zahid Mehmood, Tahira Nazir, et al.
Diagnostics (Basel, Switzerland)|January 21, 2023
CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet ModelMarriam Nawaz, Tahira Nazir, Jamel Baili, et al.
Pageof 2