Abstract: Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the critical need for accurate and early diagnosis. Convolutional Neural Networks (CNNs) have ...

Background: With optical coherence tomography (OCT), doctors are able to see cross-sections of the retinal layers and diagnose retinal diseases. Computer-aided diagnosis algorithms such as ...

A simple deep learning repository covering ANN, CNN, Transfer Learning, and Sequence Models (RNN, LSTM, GRU) with easy explanations of core concepts.

1 Department of Computer Science and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Magnetic Resonance ...

Introduction: Alzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination.

White Blood Cell Classification is a deep learning project built with Python, TensorFlow, and Keras that classifies five types of WBCs from microscopic images using a CNN model. With advanced image ...

Abstract: In order to solve the problem of insufficient capability of existing models in processing complex multi-scale scenes or data sets containing time dimensions, this paper proposes a new ...

White House press secretary Karoline Leavitt suggested on Monday that CNN was guilty of inciting and "encouraging violence" for its reporting on ICEBlock, a new app that tracks and alerts users to the ...