Impact of quality, type and volume of data used by deep learning models in the analysis of medical images

Author:

Luca Andreea RoxanaORCID,Ursuleanu Tudor FlorinORCID,Gheorghe Liliana,Grigorovici Roxana,Iancu Stefan,Hlusneac Maria,Grigorovici Alexandru

Publisher

Elsevier BV

Subject

Health Informatics

Reference181 articles.

1. natural language processing for large-scale medical image analysis using deep learning;Shin;Deep Learn. Med. Image Anal.,2017

2. Joint segmentation and Landmark localization of fetal femur in ultrasound volumes;Wang;2019 IEEE EMBS Int Conf Biomed Heal Informatics BHI 2019 - Proc,2019

3. Deep learning for health informatics;Ravi;IEEE J Biomed Heal Informatics,2017

4. Conventional machine learning and deep learning approach for multi-classification of breast cancer histopathology images—a comparative insight;Sharma;J Digit Imag,2020

5. Malaria detection using deep residual networks with mobile microscopy;Pattanaik;J. King Saud Univ. - Comput. Inf. Sci.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3