Google Colab has taken the data science community by storm. This powerful tool, developed by Google, allows users to write and execute Python code in a web-based environment, making it exceptionally ...

Recognition of forged images is a critical task in fields such as forensics and cybersecurity. Conventional techniques often struggle to accurately identify tampered images due to complex artifacts ...

A 3D dilated CNN is trained to predict the most likely direction and radius of an artery at any given point in a CCTA image based on a local image patch. We use a 3D Fibonacci ball to model a CNN ...

Abstract: Medicinal plants have long been integral to healthcare, providing natural therapeutic compounds. With the growing interest in alternative medicine, accurate identification of these plants is ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

Hyperspectral image (HSI) data has a wide range of valuable spectral information for numerous tasks. HSI data encounters challenges such as small training samples, scarcity, and redundant information.

A whistle stop tour of how to use the latest image classification techniques to build and understand a deep neural network bird classifier This is an investigation using PyTorch CNNs of deep image ...

Introduction: Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of ...

1 Institute of Artificial Intelligence, School of Computer Science, Wuhan University, Wuhan, China. 2 Landing Artificial Intelligence Center for Pathological Diagnosis, Wuhan University, Wuhan, China.

Wheat blast is a threat to global wheat production, and limited blast-resistant cultivars are available. The current estimations of wheat spike blast severity rely on human assessments, but this ...