An Overview of Biomedical Image Analysis From the Deep Learning Perspective

Author:

Chakraborty Shouvik1ORCID,Mali Kalyani1

Affiliation:

1. University of Kalyani, India

Abstract

Biomedical image analysis methods are gradually shifting towards computer-aided solutions from manual investigations to save time and improve the quality of the diagnosis. Deep learning-assisted biomedical image analysis is one of the major and active research areas. Several researchers are working in this domain because deep learning-assisted computer-aided diagnostic solutions are well known for their efficiency. In this chapter, a comprehensive overview of the deep learning-assisted biomedical image analysis methods is presented. This chapter can be helpful for the researchers to understand the recent developments and drawbacks of the present systems. The discussion is made from the perspective of the computer vision, pattern recognition, and artificial intelligence. This chapter can help to get future research directions to exploit the blessings of deep learning techniques for biomedical image analysis.

Publisher

IGI Global

Reference77 articles.

1. Deep learning-based histopathological image analysis for automated detection and staging of melanoma

2. Lung Nodule Segmentation Based on Convolutional Neural Networks Using Multi-orientation and Patchwise Mechanisms

3. Medical Image Analysis using Convolutional Neural Networks: A Review.;S. M.Anwar;Journal of Medical Systems,2018

4. Basu, S., Basu, S., Banerjee, A., & Mooney, R. (2002). Semi-supervised Clustering by Seeding. In Proceedings of 19th International Conference on Machine Learning (ICML-2002). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.9416

5. Combining MRF-based deformable registration and deep binary 3D-CNN descriptors for large lung motion estimation in COPD patients.;M.Blendowski;International Journal of Computer Assisted Radiology and Surgery,2019

Cited by 16 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. Enhancing Medical Image Analysis with Machine Learning and Image Processing;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

2. Microscopic image segmentation approach based on modified affinity propagation-based clustering;Multimedia Tools and Applications;2024-02-27

3. Deep Learning: A Overview of Theory and Architectures;2024 20th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP);2024-02-21

4. RTNet: a residual t-shaped network for medical image segmentation;Multimedia Tools and Applications;2024-02-14

5. On the Potential of Passive Metasurface Skins for Enhanced Biomedical Imaging;2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM);2024-01-09

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