Classification of lung nodules using deep learning

被引：0

作者：

Kwajiri T. ^{[1
]}

Tezuka T. ^{[2
]}

机构：

[1] Department of Knowledge and Library Information Science, Faculty of Information, University of Tsukuba, Tsukuba

[2] Faculty of Library, Information, and Media Science, University of Tsukuba, Tsukuba

来源：

Transactions of Japanese Society for Medical and Biological Engineering | 2017年 / 55卷 / Proc期

关键词：

Cancer; Convolutional neural network; Deep learning; Deep neural network; Lung nodules; Residual network;

D O I：

10.11239/jsmbe.55Annual.516

中图分类号：

学科分类号：

摘要：

Deep learning methods such as the Convolutional Neural Network and the Residual Network were applied to CT scan images in order to classify whether lung nodules become cancerous or not. Especially, the effect of changing the number of layers in the Residual Network was. Experiment were carried out using several models having these two network architectures and consisting of different numbers of layers and parameters. © 2017, Japan Soc. of Med. Electronics and Biol. Engineering. All rights reserved.

引用

页码：516 / 517

页数：1

共 50 条

[1] Application of Deep Learning Methods in Diagnosis of Lung Nodules
Cao Bin
Yang Feng
Ma Jingang
LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (16)
[2] Classification model of benign and malignant nodules in lung CT images based on deep learning of residual network
Lin Z.
Wang G.
Chen J.
Fu Q.
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2020, 41 (03): : 248 - 256
[3] Ultrasound Image Classification of Thyroid Nodules Based on Deep Learning
Yang, Jingya
Shi, Xiaoli
Wang, Bing
Qiu, Wenjing
Tian, Geng
Wang, Xudong
Wang, Peizhen
Yang, Jiasheng
FRONTIERS IN ONCOLOGY, 2022, 12
[4] Lung Nodule Classification on Computed Tomography Images Using Deep Learning
Naik, Amrita
Edla, Damodar Reddy
WIRELESS PERSONAL COMMUNICATIONS, 2021, 116 (01) : 655 - 690
[5] Deep Learning for Lung Cancer Nodules Detection and Classification in CT Scans
Riquelme, Diego
Akhloufi, Moulay A.
AI, 2020, 1 (01) : 28 - 67
[6] Lung nodule classification using deep Local–Global networks
Mundher Al-Shabi
Boon Leong Lan
Wai Yee Chan
Kwan-Hoong Ng
Maxine Tan
International Journal of Computer Assisted Radiology and Surgery, 2019, 14 : 1815 - 1819
[7] A survey of computer-aided diagnosis of lung nodules from CT scans using deep learning
Gu, Yu
Chi, Jingqian
Liu, Jiaqi
Yang, Lidong
Zhang, Baohua
Yu, Dahua
Zhao, Ying
Lu, Xiaoqi
COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 137
[8] Intelligent classification of lung malignancies using deep learning techniques
Yadlapalli, Priyanka
Bhavana, D.
Gunnam, Suryanarayana
INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2022, 15 (03) : 345 - 362
[9] NROI based feature learning for automated tumor stage classification of pulmonary lung nodules using deep convolutional neural networks
Suresh, Supriya
Mohan, Subaji
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2022, 34 (05) : 1706 - 1717
[10] Lung nodule classification using deep Local-Global networks
Al-Shabi, Mundher
Lan, Boon Leong
Chan, Wai Yee
Ng, Kwan-Hoong
Tan, Maxine
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2019, 14 (10) : 1815 - 1819

← 1 2 3 4 5 →