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Updated: Sep 13, 2025

In Vivo Optical Imaging of Brain Tumors and Arthritis Using Fluorescent SapC-DOPS Nanovesicles
09:04

In Vivo Optical Imaging of Brain Tumors and Arthritis Using Fluorescent SapC-DOPS Nanovesicles

Published on: May 2, 2014

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使用Yolo变体解释脑瘤的连续框架

S Priyadharshini1, Ramasubramanian Bhoopalan1, D Manikandan2

  • 1Department of Electronics and Communication Engineering, SRM TRP Engineering College, Tiruchirappalli, Tamil Nadu, 621105, India.

Scientific reports
|August 1, 2025
PubMed
概括

这项研究引入了YOLOv11,用于在MRI扫描中更快,更准确的脑瘤检测和细分. YOLOv11显著优于之前的模型,为临床应用提供了强大的实时解决方案.

关键词:
大脑瘤的细分 脑瘤的细分深度学习是一种深度学习.检测 检测 检测 检测 检测磁共振成像技术 磁共振成像技术这就是YOLOv11的意义.

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