Semantic Scholar Open Access 2018 1204 sitasi

Deep Learning Applications in Medical Image Analysis

Justin Ker Lipo Wang J. Rao Tchoyoson C. C. Lim

Lihat Sumber DOI

Abstrak

The tremendous success of machine learning algorithms at image recognition tasks in recent years intersects with a time of dramatically increased use of electronic medical records and diagnostic imaging. This review introduces the machine learning algorithms as applied to medical image analysis, focusing on convolutional neural networks, and emphasizing clinical aspects of the field. The advantage of machine learning in an era of medical big data is that significant hierarchal relationships within the data can be discovered algorithmically without laborious hand-crafting of features. We cover key research areas and applications of medical image classification, localization, detection, segmentation, and registration. We conclude by discussing research obstacles, emerging trends, and possible future directions.

Topik & Kata Kunci

Computer Science

Penulis (4)

Justin Ker

Lipo Wang

J. Rao

Tchoyoson C. C. Lim

Format Sitasi

APA MLA BibTeX

Ker, J., Wang, L., Rao, J., Lim, T.C.C. (2018). Deep Learning Applications in Medical Image Analysis. https://doi.org/10.1109/ACCESS.2017.2788044

Akses Cepat

Lihat di Sumber doi.org/10.1109/ACCESS.2017.2788044

Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Total Sitasi: 1204×
Sumber Database: Semantic Scholar
DOI: 10.1109/ACCESS.2017.2788044
Akses: Open Access ✓