找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu

[复制链接]
查看: 30479|回复: 58
发表于 2025-3-21 17:31:34 | 显示全部楼层 |阅读模式
期刊全称Biomedical Imaging
期刊简称Advances in Artifici
影响因子2023Ankur Gogoi,Nirmal Mazumder
视频videohttp://file.papertrans.cn/193/192708/192708.mp4
发行地址Highlights the rapidly developing field of AI and ML along with their application in biomedical imaging.Includes a comprehensive description of several technology-driven spectacular advances made over
学科分类Biological and Medical Physics, Biomedical Engineering
图书封面Titlebook: Biomedical Imaging; Advances in Artifici Ankur Gogoi,Nirmal Mazumder Book 2024 The Editor(s) (if applicable) and The Author(s), under exclu
影响因子.This book presents the rapidly developing field of artificial intelligence and machine learning and its application in biomedical imaging. As is known, starting from the diagnosis of fractures by using X-rays to understanding the complex structure and function of the brain, biomedical imaging has contributed immensely toward the development of precision diagnosis and treatment strategies for numerous diseases. While continuous evolution in imaging technologies have enabled the acquisition of images having resolution and contrast far better than ever, it significantly increased the volume of data associated with each image scan—making it increasingly difficult for experts to analyze and interpret. In this context, the application of artificial intelligence (AI) and machine learning (ML) tools has become one of the most exciting frontlines of contemporary research in biomedical imaging due to their capability to extract minute traces of various disease signatures from large and complicated datasets and providing clear insight into the potential abnormalities with excellent accuracy, sensitivity, and specificity. The hallmark of this book will be the contributions from international
Pindex Book 2024
The information of publication is updating

书目名称Biomedical Imaging影响因子(影响力)




书目名称Biomedical Imaging影响因子(影响力)学科排名




书目名称Biomedical Imaging网络公开度




书目名称Biomedical Imaging网络公开度学科排名




书目名称Biomedical Imaging被引频次




书目名称Biomedical Imaging被引频次学科排名




书目名称Biomedical Imaging年度引用




书目名称Biomedical Imaging年度引用学科排名




书目名称Biomedical Imaging读者反馈




书目名称Biomedical Imaging读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:26:05 | 显示全部楼层
发表于 2025-3-22 04:13:39 | 显示全部楼层
发表于 2025-3-22 07:08:31 | 显示全部楼层
发表于 2025-3-22 11:29:16 | 显示全部楼层
发表于 2025-3-22 14:06:04 | 显示全部楼层
发表于 2025-3-22 20:26:18 | 显示全部楼层
发表于 2025-3-22 21:45:14 | 显示全部楼层
发表于 2025-3-23 03:22:43 | 显示全部楼层
U-Net: A Versatile Deep Learning Architecture for Multi-Disease Detection,aging modalities. The chapter highlights variants of U-Nets and presents various data augmentation techniques to improve the performance. The chapter covers the segmentation of brain tumors, lung nodules, and liver lesions.
发表于 2025-3-23 07:28:46 | 显示全部楼层
Deep Learning Integrated Multiphoton Microscopy,es. DL is assisting us in moving toward data-driven instrument designs that combine microscopy and computing techniques. This article gives an overview of recent work that has used ML techniques to various types of advanced microscopy and sensing systems and their biomedical applications.
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-12 09:16
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表