When doctors review brain scans, each detail of the picture—each pixel or voxel—must be painstakingly labeled. The cerebral ...

Image semantic segmentation is ubiquitously used in scene understanding applications, such as AI Camera, which require high accuracy and efficiency. Deep learning has significantly advanced the ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...

CHICAGO & CHALFONT ST GILES, England--(BUSINESS WIRE)--At the International Society for Magnetic Resonance in Medicine (ISMRM) 2022 Annual Meeting, GE Healthcare boasts the continued expansion of its ...

A new study introduces a universal two-stage method that successfully segments plant stems and leaves across both monocotyledonous and dicotyledonous crops.

Canon has developed new deep learning algorithms that can correct all known image defects. In a new paper, released in Japanese on Canon's global website, the company has unveiled a new deep learning ...

Four research papers of the study were recently published in SCI-indexed journals, and its findings have been presented at ...

Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ...

Estimation of organ doses from internal and external exposures in health physics depends on computational models of the human body (phantoms), and Monte Carlo calculations ─ two tools that have seen ...