OMNIVISION, a leading global developer of semiconductor technology, including advanced digital imaging, analog, and display ...

Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Medical imaging is a process of visualizing the tissues, organs and structure of the human body to diagnose, monitor, and treat medical conditions. It plays ...

An international team of researchers has built the largest three-dimensional database of ant anatomy ever assembled, scanning roughly 2,000 specimens in a single week by combining synchrotron imaging, ...

Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as Faster R-CNN and ...

Abstract: Medical image segmentation is crucial for separating tissue structures and anatomical regions. However, due to significant variations in size, shape, and density of target tissues in medical ...

An AI algorithm converts 2D electron microscope images into accurate 3D structures, cutting analysis time and cost to one-eighth while preserving precision. The newly developed algorithm requires ...

Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...