MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks

no code implementations • 13 Oct 2021 • Laith Alzubaidi, J. Santamaría, Mohamed Manoufali, Beadaa Mohammed, Mohammed A. Fadhel, Jinglan Zhang, Ali H. Al-Timemy, Omran Al-Shamma, Ye Duan

Nowadays, multiple classification methods from medical imaging make use of TL from general-purpose pre-trained models, e. g., ImageNet, which has been proven to be ineffective due to the mismatch between the features learned from natural images (ImageNet) and those more specific from medical images especially medical gray images such as X-rays.

Transfer Learning

An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings

no code implementations • 16 Jul 2020 • Ali H. Al-Timemy, Rami N. Khushaba, Zahraa M. Mosa, Javier Escudero

The pipeline was computationally efficient requiring just 0. 19 second to extract DF per X-ray image and 2 minutes for training a traditional classifier with more than 2000 images on a CPU machine.