These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
133 related articles for article (PubMed ID: 35054233)
21. Channel Attention Module With Multiscale Grid Average Pooling for Breast Cancer Segmentation in an Ultrasound Image. Lee H; Park J; Hwang JY IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Jul; 67(7):1344-1353. PubMed ID: 32054578 [TBL] [Abstract][Full Text] [Related]
22. BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations. Zhang B; Vakanski A; Xian M IEEE Access; 2023; 11():79480-79494. PubMed ID: 37608804 [TBL] [Abstract][Full Text] [Related]
23. A deep learning method for classifying mammographic breast density categories. Mohamed AA; Berg WA; Peng H; Luo Y; Jankowitz RC; Wu S Med Phys; 2018 Jan; 45(1):314-321. PubMed ID: 29159811 [TBL] [Abstract][Full Text] [Related]
24. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network. Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174 [TBL] [Abstract][Full Text] [Related]
25. Automated mammographic breast density estimation using a fully convolutional network. Lee J; Nishikawa RM Med Phys; 2018 Mar; 45(3):1178-1190. PubMed ID: 29363774 [TBL] [Abstract][Full Text] [Related]
26. Combined diagnosis of ultrasonic elastography and BI-RADS classification increases diagnostic value in female patients with breast neoplasms. Li H; Cheng C; Wang Y; Qin H; Wang J; Zhang S; Teng R; Yu M; Li N Am J Transl Res; 2021; 13(10):11758-11763. PubMed ID: 34786104 [TBL] [Abstract][Full Text] [Related]
27. Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model. Hu Y; Guo Y; Wang Y; Yu J; Li J; Zhou S; Chang C Med Phys; 2019 Jan; 46(1):215-228. PubMed ID: 30374980 [TBL] [Abstract][Full Text] [Related]
28. Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images. Li C; Huang H; Chen Y; Shao S; Chen J; Wu R; Zhang Q Front Oncol; 2022; 12():848790. PubMed ID: 35924158 [TBL] [Abstract][Full Text] [Related]
29. Rapid Segmentation and Diagnosis of Breast Tumor Ultrasound Images at the Sonographer Level Using Deep Learning. Yang L; Zhang B; Ren F; Gu J; Gao J; Wu J; Li D; Jia H; Li G; Zong J; Zhang J; Yang X; Zhang X; Du B; Wang X; Li N Bioengineering (Basel); 2023 Oct; 10(10):. PubMed ID: 37892950 [TBL] [Abstract][Full Text] [Related]
30. Deep Learning for Describing Breast Ultrasound Images with BI-RADS Terms. Carrilero-Mardones M; Parras-Jurado M; Nogales A; Pérez-Martín J; Díez FJ J Imaging Inform Med; 2024 Jun; ():. PubMed ID: 38926264 [TBL] [Abstract][Full Text] [Related]
31. BUS-BRA: A breast ultrasound dataset for assessing computer-aided diagnosis systems. Gómez-Flores W; Gregorio-Calas MJ; Coelho de Albuquerque Pereira W Med Phys; 2024 Apr; 51(4):3110-3123. PubMed ID: 37937827 [TBL] [Abstract][Full Text] [Related]
32. A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors. Xie J; Song X; Zhang W; Dong Q; Wang Y; Li F; Wan C Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 33120380 [TBL] [Abstract][Full Text] [Related]
33. A Deep Learning-Based Decision Support Tool for Precision Risk Assessment of Breast Cancer. He T; Puppala M; Ezeana CF; Huang YS; Chou PH; Yu X; Chen S; Wang L; Yin Z; Danforth RL; Ensor J; Chang J; Patel T; Wong STC JCO Clin Cancer Inform; 2019 May; 3():1-12. PubMed ID: 31141423 [TBL] [Abstract][Full Text] [Related]
34. Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study. Gu Y; Xu W; Liu T; An X; Tian J; Ran H; Ren W; Chang C; Yuan J; Kang C; Deng Y; Wang H; Luo B; Guo S; Zhou Q; Xue E; Zhan W; Zhou Q; Li J; Zhou P; Chen M; Gu Y; Chen W; Zhang Y; Li J; Cong L; Zhu L; Wang H; Jiang Y Eur Radiol; 2023 Apr; 33(4):2954-2964. PubMed ID: 36418619 [TBL] [Abstract][Full Text] [Related]
35. Fully automatic tumor segmentation of breast ultrasound images with deep learning. Zhang S; Liao M; Wang J; Zhu Y; Zhang Y; Zhang J; Zheng R; Lv L; Zhu D; Chen H; Wang W J Appl Clin Med Phys; 2023 Jan; 24(1):e13863. PubMed ID: 36495018 [TBL] [Abstract][Full Text] [Related]
36. Breast tumor classification through learning from noisy labeled ultrasound images. Cao Z; Yang G; Chen Q; Chen X; Lv F Med Phys; 2020 Mar; 47(3):1048-1057. PubMed ID: 31837239 [TBL] [Abstract][Full Text] [Related]
37. Combination of two-dimensional shear wave elastography with ultrasound breast imaging reporting and data system in the diagnosis of breast lesions: a new method to increase the diagnostic performance. Li DD; Xu HX; Guo LH; Bo XW; Li XL; Wu R; Xu JM; Zhang YF; Zhang K Eur Radiol; 2016 Sep; 26(9):3290-300. PubMed ID: 26714967 [TBL] [Abstract][Full Text] [Related]
38. Fully Automated Breast Density Segmentation and Classification Using Deep Learning. Saffari N; Rashwan HA; Abdel-Nasser M; Kumar Singh V; Arenas M; Mangina E; Herrera B; Puig D Diagnostics (Basel); 2020 Nov; 10(11):. PubMed ID: 33238512 [TBL] [Abstract][Full Text] [Related]
39. A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging. Zhong Y; Li M; Zhu J; Zhang B; Liu M; Wang Z; Wang J; Zheng Y; Cheng L; Li X Quant Imaging Med Surg; 2022 Jul; 12(7):3860-3872. PubMed ID: 35782247 [TBL] [Abstract][Full Text] [Related]