New one-step model of breast tumor locating based on deep learning-Reference-Cited by-同舟云学术

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New one-step model of breast tumor locating based on deep learning

Published:2019-10-17 Issue:5 Volume:27 Page:839-856
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Tao Chao¹,Chen Ke¹,Han Lin¹,Peng Yulan²,Li Cheng³,Hua Zhan³,Lin Jiangli¹

Affiliation:

1. Department of Biomedical Engineering, College of Materials Science and Engineering, Sichuan University, Chengdu, China

2. Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China

3. China-Japan Friendship Hospital, Beijing, China

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

Reference41 articles.

1. Nayeem M.A.R. , Joadder M.A.M. , Shetu S.A. , et al., Feature selection for breast cancer detection from ultrasound images, in: 2014 International Conference on Informatics, Electronics & Vision (ICIEV), 2014: IEEE, pp. 1–6.

2. Robust texture analysis using multi-resolution gray-scale invariant features for breast sonographic tumor diagnosis;Yang;IEEE Transactions on Medical Imaging,2013

3. Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound;Li;Journal of X-ray Science and Technology,2017

4. Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains;Xian;Pattern Recognition,2015

5. Automated boundary detection of breast cancer in ultrasound images using watershed algorithm;Bafna;Ambient communications and computer systems: Springer,2018

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1. TumorDet: A Breast Tumor Detection Model Based on Transfer Learning and ShuffleNet;Current Bioinformatics;2023-08-15

2. Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer—A Multicenter Study;Frontiers in Oncology;2022-03-10

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4. Automatic detection of ultrasound breast lesions: a novel saliency detection model based on multiple priors;Signal, Image and Video Processing;2021-09-04

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