Mass Detection on Automated Breast Ultrasound Volume Scans Using Convolutional Neural Network

被引：0

作者：

Muramatsu, Chisako ^{[1
]}

Hiramatsu, Yuya ^{[1
]}

Fujita, Hiroshi ^{[1
]}

Kobayashi, Hironobu ^{[2
]}

机构：

[1] Gifu Univ, Dept Elect Elect & Comp Engn, Gifu, Japan

[2] Nagoya Cent Hosp, Dept Breast & Endocrine Surg, Nagoya, Aichi, Japan

来源：

2018 INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) | 2018年

基金：

日本学术振兴会;

关键词：

breast masses; automated ultrasound volume scans; detection; convolutional neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Automated ultrasound volume scan is useful for screening breast cancer as it records the whole breast data allowing longitudinal comparisons and double reading. Unlike examinations with handheld probes, it is less operator independent. However, the number of acquired images is large, which increases radiologists' workload. In this study, we propose a mass detection method on ultrasound volume scans using convolutional neural network (CNN). Using CNN, detection performance greatly improved compared with the conventional filter based method.

引用

页数：2

共 50 条

[21] Automated Detection of Autism Spectrum Disorder Using a Convolutional Neural Network
Sherkatghanad, Zeinab
Akhondzadeh, Mohammadsadegh
Salari, Soorena
Zomorodi-Moghadam, Mariam
Abdar, Moloud
Acharya, U. Rajendra
Khosrowabadi, Reza
Solari, Vahid
FRONTIERS IN NEUROSCIENCE, 2020, 13
[22] Automated detection of diabetic retinopathy using optimized convolutional neural network
S. Jasmine Minija
M. Anline Rejula
B. Shamina Ross
Multimedia Tools and Applications, 2024, 83 : 21065 - 21080
[23] Automated detection of diabetic retinopathy using optimized convolutional neural network
Minija, S. Jasmine
Rejula, M. Anline
Ross, B. Shamina
MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (07) : 21065 - 21080
[24] Automated detection of diabetic retinopathy using custom convolutional neural network
Albahli, Saleh
Yar, Ghulam Nabi Ahmad Hassan
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2022, 30 (02) : 275 - 291
[25] Automated Embolic Signal Detection Using Deep Convolutional Neural Network
Sombune, Praotasna
Phienphanich, Phongphan
Phuechpanpaisal, Sutanya
Muengtaweepongsa, Sombat
Ruamthanthong, Anuchit
Tantibundhit, Charturong
2017 39TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2017, : 3365 - 3368
[26] Automated Detection of Liver Steatosis in Ultrasound Images Using Convolutional Neural Networks
Mohammad, Umar Farooq
Almekkawy, Mohamed
INTERNATIONAL ULTRASONICS SYMPOSIUM (IEEE IUS 2021), 2021,
[27] Convolutional neural network for the detection of pancreatic cancer on CT scans
Liao, Wei-Chih
Simpson, Amber L.
Wang, Weichung
LANCET DIGITAL HEALTH, 2020, 2 (09): : E454 - E454
[28] Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images
Jabbar, Shaima I.
Day, Charles R.
Heinz, Nicholas
Chadwick, Edward K.
2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2016, : 4619 - 4626
[29] Convolutional neural network for automated mass segmentation in mammography
Abdelhafiz, Dina
Bi, Jinbo
Ammar, Reda
Yang, Clifford
Nabavi, Sheida
BMC BIOINFORMATICS, 2020, 21 (Suppl 1)
[30] Convolutional neural network for automated mass segmentation in mammography
Dina Abdelhafiz
Jinbo Bi
Reda Ammar
Clifford Yang
Sheida Nabavi
BMC Bioinformatics, 21

← 1 2 3 4 5 →