IEEE

Enhancing Satellite Image Classification in Remote Sensing Applications Utilizing Deep Convolutional Neural Networks

Abstract: Satellite image classification is a key task in remote sensing, where deep learning models are increasingly applied for their accuracy and automation capabilities. This study conducts a ...
IEEE

Multimodal Ensemble Fusion Deep Learning Using Histopathological Images and Clinical Data for Glioma Subtype Classification

Abstract: Glioma is the most common malignant tumor of the central nervous system, and diffuse Glioma is classified as grades II-IV by world health organization (WHO). In the the cancer genome atlas ...
thechurchnews

How President Nelson manifested a ‘deep desire to learn’

“Develop a deep desire to learn,” he counseled young Latter-day Saints in a devotional on Sept. 8, 2013. “There is no shortcut to excellence and competence. Education is the difference between wishing ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
Frontiers

Sentinel-2 forest typology mapping in Central Africa: assessing deep learning and image preprocessing effects

Introduction: Central African forests are key reservoirs of carbon and biodiversity. Developing a detailed, spatially explicit typology of forest types is essential for monitoring and conservation.