A survey on deep learning in medical image analysis

被引：7468

作者：

Litjens, Geert ^{[1
]}

Kooi, Thijs ^{[1
]}

Bejnordi, Babak Ehteshami ^{[1
]}

Setio, Arnaud Arindra Adiyoso ^{[1
]}

Ciompi, Francesco ^{[1
]}

Ghafoorian, Mohsen ^{[1
]}

van der Laak, Jeroen A. W. M. ^{[1
]}

van Ginneken, Bram ^{[1
]}

Sanchez, Clara I. ^{[1
]}

机构：

[1] Radboud Univ Nijmegen, Med Ctr, Diagnost Image Anal Grp, Nijmegen, Netherlands

来源：

MEDICAL IMAGE ANALYSIS | 2017年 / 42卷

关键词：

Deep learning; Convolutional neural networks; Medical imaging; Survey; CONVOLUTIONAL NEURAL-NETWORK; ANATOMICAL LANDMARK DETECTION; BRAIN-TUMOR SEGMENTATION; COMPUTER-AIDED DETECTION; LEFT-VENTRICLE; AUTOMATED DETECTION; FEATURE REPRESENTATION; HIERARCHICAL FEATURES; DIABETIC-RETINOPATHY; CT IMAGE;

D O I：

10.1016/j.media.2017.07.005

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks. Concise overviews are provided of studies per application area: neuro, retinal, pulmonary, digital pathology, breast, cardiac, abdominal, musculoskeletal. We end with a summary of the current state-of-the-art, a critical discussion of open challenges and directions for future research. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：60 / 88

页数：29

共 50 条

[31] Deep learning on medical image analysis
Wang, Jiaji
Wang, Shuihua
Zhang, Yudong
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, 2025, 10 (01) : 1 - 35
[32] Deep Learning in Medical Image Analysis
Zhang, Yudong
Gorriz, Juan Manuel
Dong, Zhengchao
JOURNAL OF IMAGING, 2021, 7 (04)
[33] A Tour of Unsupervised Deep Learning for Medical Image Analysis
Raza, Khalid
Singh, Nripendra Kumar
CURRENT MEDICAL IMAGING, 2021, 17 (09) : 1059 - 1077
[34] Explainable Deep Learning Models in Medical Image Analysis
Singh, Amitojdeep
Sengupta, Sourya
Lakshminarayanan, Vasudevan
JOURNAL OF IMAGING, 2020, 6 (06)
[35] Deep Learning and Big DataTechnologies in Medical Image Analysis
Rastogi, Priyanka
Singh, Vijendra
Yadav, Monika
2018 FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (IEEE PDGC), 2018, : 60 - 63
[36] Medical image analysis based on deep learning approach
Muralikrishna Puttagunta
S. Ravi
Multimedia Tools and Applications, 2021, 80 : 24365 - 24398
[37] Medical image analysis using deep learning algorithms
Li, Mengfang
Jiang, Yuanyuan
Zhang, Yanzhou
Zhu, Haisheng
FRONTIERS IN PUBLIC HEALTH, 2023, 11
[38] Medical image analysis based on deep learning approach
Puttagunta, Muralikrishna
Ravi, S.
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (16) : 24365 - 24398
[39] Deep learning for medical image analysis: a brief introduction
Wiestler, Benedikt
Menze, Bjoern
NEURO-ONCOLOGY ADVANCES, 2020, 2 (SUPP 4) : 35 - 41
[40] On the Effective Transfer Learning Strategy for Medical Image Analysis in Deep Learning
Wen, Yang
Chen, Leiting
Zhou, Chuan
Deng, Yu
Zeng, Huiru
Xi, Shuo
Guo, Rui
2020 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE, 2020, : 827 - 834

← 1 2 3 4 5 →