Analytics Insight

Best Deep Learning Books to Read in 2026

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...
Hartford Courant

CT DEEP posted an AI-generated image, and the internet noticed

With what appears to be an extra finger on his right hand and no actual arrow in his bow, the man featured in the Department of Energy and Environmental Protection‘s Facebook post did not look like ...
C&EN

Deep Learning-Based Shape Classification for Hyperspectral-Imaged Microplastics

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
GitHub

deep-learning-project

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 ...
IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
IEEE

Meta-learning with Unlabeled Query Updating and Consistency Learning for Few-shot OCT Image Classification

Abstract: Objective: Deep neural networks are widely used in the field of optical coherence tomography (OCT) to screen some common retinal diseases. However, for rare diseases with fewer cases for ...
Frontiers

Deep learning-based classification of multiple fundus diseases using ultra-widefield images

1 Department of ophthalmology, JiuJiang City Key Laboratory of Cell Therapy, Jiujiang No. 1 People’s Hospital, JiuJiang, Jiangxi, China 2 Department of Otolaryngology, The Seventh Affiliated Hospital, ...
Frontiers

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

Introduction: A novel classification scheme for endplate lesions, based on T2-weighted images from magnetic resonance imaging (MRI) scan, has been recently introduced and validated. The scheme ...