医学图像分割(Medical Image Segmentation)是计算机辅助诊断(Computer-Aided Diagnosis, CAD)中至关重要的环节之一,其作用是从医学扫描图像中分离出感兴趣区域(Region of Interest, ROI), 医学图像分割(Medical Image Segmentation)是计算机辅助诊断(Computer-Aided Diagnosis, ...
This study aims to investigate the application of visual information processing mechanisms in the segmentation of stem cell (SC) images. The cognitive principles underlying visual information ...
I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...
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 Korea Research Institute of Standards and Science (KRISS) has developed an artificial intelligence (AI)-based image segmentation algorithm that can rapidly reconstruct three-dimensional (3D) ...
Abstract: The U-Net algorithm, with its unique network structure and excellent performance, has become a classic algorithm in the field of image semantic segmentation. However, there are still some ...
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 ...
Abstract: This paper describes an algorithm for color segmentation of images obtained by the computer vision system of an autonomous underwater vehicle. The main goal of image segmentation is further ...
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