Label-free optical imaging enables automated measurement of human white matter microstructure

White matter pathways allow distant parts of the brain to communicate, supporting memory, emotion, and language. One such ...
Technology Networks

Revealing Hidden Damage in Stony Corals Using 3D Imaging and AI

Using AI and high-resolution imaging, researchers detected subtle skeletal changes in diseased corals, showing how pore ...
TMCnet

MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Three-Dimensional Object Technology for Multi-Channel Quantum Convolutional Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...
IEEE

Enhanced Semantic Segmentation of LiDAR Point Clouds Using Projection-Based Deep Learning Networks

Abstract: Light detection and ranging (LiDAR) point cloud semantic segmentation has emerged as a fundamental technique for enabling intelligent perception in autonomous driving, robotics, and ...
Frontiers

Automated segmentation and classification of lumbar transverse ultrasound views using a two-stage deep learning method

Ultrasound guidance is widely used in lumbar regional anesthesia and chronic pain management because it provides radiation-free, portable, and real-time visualization. Among lumbar ultrasound views, ...
IEEE

A Continuous Perspective-Based Strategy for Deep Learning in Semantic Segmentation for Remote Sensing Fault Mapping

Abstract: Faults are critical geological features visible in remote sensing imagery, playing essential roles in earthquake studies, resource exploration, and disaster prevention. Traditional automatic ...
Scientific Research Publishing

Assessing the Role of Multi-Resolution Remote Sensing in Monitoring Urban Growth and Environmental Change in Rapidly Urbanizing Regions ()

1 Uluslararası Coğrafi Mekansal Zeka Araştırmaları Derneği, Ankara, Türkiye. 2 Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA. 3 Faculty of Engineering, Çankaya ...
Scientific Research Publishing

Hatamizadeh, A., Nath, V., Tang, Y., Yang, D., Roth, H.R. and Xu, D. (2022) Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. arXiv: 2201. ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...
GitHub

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

In these modern times where everyone is sitting at home and skype-ing/zoom-ing/webrtc-ing all the time, I was a bit annoyed about always showing my messy home office ...