246 related articles for article (PubMed ID: 32007838)
1. 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]
2. Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation.
Chiang TC; Huang YS; Chen RT; Huang CS; Chang RF
IEEE Trans Med Imaging; 2019 Jan; 38(1):240-249. PubMed ID: 30059297
[TBL] [Abstract][Full Text] [Related]
3. 3D Inception U-net with Asymmetric Loss for Cancer Detection in Automated Breast Ultrasound.
Wang Y; Qin C; Lin C; Lin D; Xu M; Luo X; Wang T; Li A; Ni D
Med Phys; 2020 Nov; 47(11):5582-5591. PubMed ID: 33459385
[TBL] [Abstract][Full Text] [Related]
4. A 2-Phase Merge Filter Approach to Computer-Aided Detection of Breast Tumors on 3-Dimensional Ultrasound Imaging.
Chiu LY; Kuo WH; Chen CN; Chang KJ; Chen A
J Ultrasound Med; 2020 Dec; 39(12):2439-2455. PubMed ID: 32567133
[TBL] [Abstract][Full Text] [Related]
5. 3D tumor detection in automated breast ultrasound using deep convolutional neural network.
Li Y; Wu W; Chen H; Cheng L; Wang S
Med Phys; 2020 Nov; 47(11):5669-5680. PubMed ID: 32970838
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Deeply-Supervised Networks With Threshold Loss for Cancer Detection in Automated Breast Ultrasound.
Wang Y; Wang N; Xu M; Yu J; Qin C; Luo X; Yang X; Wang T; Li A; Ni D
IEEE Trans Med Imaging; 2020 Apr; 39(4):866-876. PubMed ID: 31442972
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Computer-aided tumor detection based on multi-scale blob detection algorithm in automated breast ultrasound images.
Moon WK; Shen YW; Bae MS; Huang CS; Chen JH; Chang RF
IEEE Trans Med Imaging; 2013 Jul; 32(7):1191-200. PubMed ID: 23232413
[TBL] [Abstract][Full Text] [Related]
10. Tumor detection in automated breast ultrasound images using quantitative tissue clustering.
Moon WK; Lo CM; Chen RT; Shen YW; Chang JM; Huang CS; Chen JH; Hsu WW; Chang RF
Med Phys; 2014 Apr; 41(4):042901. PubMed ID: 24694157
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided detection of breast cancers using Haar-like features in automated 3D breast ultrasound.
Tan T; Mordang JJ; van Zelst J; Grivegnée A; Gubern-Mérida A; Melendez J; Mann RM; Zhang W; Platel B; Karssemeijer N
Med Phys; 2015 Apr; 42(4):1498-504. PubMed ID: 25832040
[TBL] [Abstract][Full Text] [Related]
12. Multi-dimensional tumor detection in automated whole breast ultrasound using topographic watershed.
Lo CM; Chen RT; Chang YC; Yang YW; Hung MJ; Huang CS; Chang RF
IEEE Trans Med Imaging; 2014 Jul; 33(7):1503-11. PubMed ID: 24718570
[TBL] [Abstract][Full Text] [Related]
13. 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System.
Xu X; Bao L; Tan Y; Zhu L; Kong F; Wang W
Ultrasound Med Biol; 2018 Aug; 44(8):1694-1702. PubMed ID: 29853222
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R-CNN.
Lei Y; He X; Yao J; Wang T; Wang L; Li W; Curran WJ; Liu T; Xu D; Yang X
Med Phys; 2021 Jan; 48(1):204-214. PubMed ID: 33128230
[TBL] [Abstract][Full Text] [Related]
16. Tumor segmentation in automated whole breast ultrasound using bidirectional LSTM neural network and attention mechanism.
Pan P; Chen H; Li Y; Cai N; Cheng L; Wang S
Ultrasonics; 2021 Feb; 110():106271. PubMed ID: 33166786
[TBL] [Abstract][Full Text] [Related]
17. A CAD system for pulmonary nodule prediction based on deep three-dimensional convolutional neural networks and ensemble learning.
Huang W; Xue Y; Wu Y
PLoS One; 2019; 14(7):e0219369. PubMed ID: 31299053
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided detection of cancer in automated 3-D breast ultrasound.
Tan T; Platel B; Mus R; Tabar L; Mann RM; Karssemeijer N
IEEE Trans Med Imaging; 2013 Sep; 32(9):1698-706. PubMed ID: 23693128
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided multiview tumor detection for automated whole breast ultrasound.
Lo C; Shen YW; Huang CS; Chang RF
Ultrason Imaging; 2014 Jan; 36(1):3-17. PubMed ID: 24275536
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network.
Fan M; Li Y; Zheng S; Peng W; Tang W; Li L
Methods; 2019 Aug; 166():103-111. PubMed ID: 30771490
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
