675 related articles for article (PubMed ID: 32007839)
1. Computer-aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks.
Moon WK; Lee YW; Ke HH; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105361. PubMed ID: 32007839
[TBL] [Abstract][Full Text] [Related]
2. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
3. An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures.
Cao Z; Duan L; Yang G; Yue T; Chen Q
BMC Med Imaging; 2019 Jul; 19(1):51. PubMed ID: 31262255
[TBL] [Abstract][Full Text] [Related]
4. Computer-aided diagnosis system for breast ultrasound images using deep learning.
Tanaka H; Chiu SW; Watanabe T; Kaoku S; Yamaguchi T
Phys Med Biol; 2019 Dec; 64(23):235013. PubMed ID: 31645021
[TBL] [Abstract][Full Text] [Related]
5. Distinction between benign and malignant breast masses at breast ultrasound using deep learning method with convolutional neural network.
Fujioka T; Kubota K; Mori M; Kikuchi Y; Katsuta L; Kasahara M; Oda G; Ishiba T; Nakagawa T; Tateishi U
Jpn J Radiol; 2019 Jun; 37(6):466-472. PubMed ID: 30888570
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided tumor detection in automated breast ultrasound using a 3-D convolutional neural network.
Moon WK; Huang YS; Hsu CH; Chang Chien TY; Chang JM; Lee SH; Huang CS; Chang RF
Comput Methods Programs Biomed; 2020 Jul; 190():105360. PubMed ID: 32007838
[TBL] [Abstract][Full Text] [Related]
7. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
Al-Antari MA; Al-Masni MA; Kim TS
Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
[TBL] [Abstract][Full Text] [Related]
8. Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.
Xu P; Zhao J; Wan M; Song Q; Su Q; Wang D
Med Phys; 2024 Jun; 51(6):4243-4257. PubMed ID: 38436433
[TBL] [Abstract][Full Text] [Related]
9. New one-step model of breast tumor locating based on deep learning.
Tao C; Chen K; Han L; Peng Y; Li C; Hua Z; Lin J
J Xray Sci Technol; 2019; 27(5):839-856. PubMed ID: 31306148
[TBL] [Abstract][Full Text] [Related]
10. CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images.
Tasnim J; Hasan MK
Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38056017
[No Abstract] [Full Text] [Related]
11. Breast Tumor Classification in Ultrasound Images Using Combined Deep and Handcrafted Features.
Daoud MI; Abdel-Rahman S; Bdair TM; Al-Najar MS; Al-Hawari FH; Alazrai R
Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33265900
[TBL] [Abstract][Full Text] [Related]
12. Convolutional neural networks for computer-aided detection or diagnosis in medical image analysis: An overview.
Gao J; Jiang Q; Zhou B; Chen D
Math Biosci Eng; 2019 Jul; 16(6):6536-6561. PubMed ID: 31698575
[TBL] [Abstract][Full Text] [Related]
13. Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach.
Ru J; Zhu Z; Shi J
BMC Med Imaging; 2024 Jun; 24(1):133. PubMed ID: 38840240
[TBL] [Abstract][Full Text] [Related]
14. Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.
Ha R; Chin C; Karcich J; Liu MZ; Chang P; Mutasa S; Pascual Van Sant E; Wynn RT; Connolly E; Jambawalikar S
J Digit Imaging; 2019 Oct; 32(5):693-701. PubMed ID: 30361936
[TBL] [Abstract][Full Text] [Related]
15. Deep Convolutional Neural Networks for breast cancer screening.
Chougrad H; Zouaki H; Alheyane O
Comput Methods Programs Biomed; 2018 Apr; 157():19-30. PubMed ID: 29477427
[TBL] [Abstract][Full Text] [Related]
16. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
Zhang E; Seiler S; Chen M; Lu W; Gu X
Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
[TBL] [Abstract][Full Text] [Related]
17. Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Al-Masni MA; Kim DH; Kim TS
Comput Methods Programs Biomed; 2020 Jul; 190():105351. PubMed ID: 32028084
[TBL] [Abstract][Full Text] [Related]
18. Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion.
Zhuang Z; Yang Z; Raj ANJ; Wei C; Jin P; Zhuang S
Comput Methods Programs Biomed; 2021 Sep; 208():106221. PubMed ID: 34144251
[TBL] [Abstract][Full Text] [Related]
19. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
[TBL] [Abstract][Full Text] [Related]
20. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
