Current fetal monitoring tools for physicians to closely follow high-risk pregnancies are inadequate, so researchers at Stanford Medicine, the University of California San Diego and Oxford University ...
Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...
Scientists have developed living microrobot swarms made from algae and nanoparticles that can assemble into custom shapes ...
Abstract: Machine learning algorithm for multi-modal image segmentation is extensively employed in medical analysis and diagnosis. Clustering represents a mainstream approach for image segmentation, ...
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 ...
The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...
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 ...
LiDAR (Light Detection and Ranging) is an essential device for capturing the depth information of objects. Unmanned aerial vehicles (UAV) can sense the surrounding environment through LiDAR and image ...
Abstract: Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm ...
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