A Study on Digital Pathology Image Segmentation Using Deep Learning Methods
Author:
Affiliation:
1. Mother Teresa Women’s University,Department of Computer Science,Kodaikkanal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112997.pdf?arnumber=10112997
Reference26 articles.
1. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
2. Pathology Image Analysis Using Segmentation Deep Learning Algorithms
3. Predicting cancer outcomes from histology and genomics using convolutional networks
4. Cervical nuclei segmentation in whole slide histopathology images using convolution neural network;yang;Proceedings of the International Conference on Soft Computing in Data Science,2018
5. Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
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. A Multispectral Remote Sensing Crop Segmentation Method Based on Segment Anything Model Using Multistage Adaptation Fine-Tuning;IEEE Transactions on Geoscience and Remote Sensing;2024
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