Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

by Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, Ye Duan
Published 2020-03-01

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

by Laith Alzubaidi, Omran Al-Shamma, Mohammed A. Fadhel, Laith Farhan, Jinglan Zhang, Ye Duan
Published 2020-03-01

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

by Laith Alzubaidi, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang, J. Santamaría, Ye Duan, Sameer R. Oleiwi
Published 2020-06-01

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

by Laith Alzubaidi, Ye Duan, Ayad Al-Dujaili, Ibraheem Kasim Ibraheem, Ahmed H. Alkenani, Jose Santamaría, Mohammed A. Fadhel, Omran Al-Shamma, Jinglan Zhang
Published 2021-09-01

Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

by Laith Alzubaidi, Muthana Al-Amidie, Ahmed Al-Asadi, Amjad J. Humaidi, Omran Al-Shamma, Mohammed A. Fadhel, Jinglan Zhang, J. Santamaría, Ye Duan
Published 2021-03-01

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

by Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie, Laith Farhan
Published 2021-03-01