An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images

Published:2023-12 Issue: Volume:234 Page:121081
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Carvalho Edson Damasceno,da Silva Neto Otilio Paulo^ORCID,Mathew Mano Joseph,de Carvalho Filho Antônio Oseas^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Tensorflow: Large-scale machine learning on heterogeneous distributed systems;Abadi;Software,2016

2. Towards breast cancer response prediction using artificial intelligence and radiomics;Amkrane,2020

3. Liver segmentation from computed tomography images using cascade deep learning;Araújo;Computers in Biology and Medicine,2022

4. K-means++: The advantages of careful seeding;Arthur,2007

5. SegNet: A deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effective multispike learning in a spiking neural network with a new temporal feedback backpropagation for breast cancer detection;Expert Systems with Applications;2024-10

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