226 related articles for article (PubMed ID: 30678680)
1. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.
Huang Y; Han L; Dou H; Luo H; Yuan Z; Liu Q; Zhang J; Yin G
Biomed Eng Online; 2019 Jan; 18(1):8. PubMed ID: 30678680
[TBL] [Abstract][Full Text] [Related]
2. Assessment of Diagnostic Accuracy and Efficiency of Categories 4 and 5 of the Second Edition of the BI-RADS Ultrasound Lexicon in Diagnosing Breast Lesions.
Zou X; Wang J; Lan X; Lin Q; Han F; Liu L; Li A
Ultrasound Med Biol; 2016 Sep; 42(9):2065-71. PubMed ID: 27262521
[TBL] [Abstract][Full Text] [Related]
3. Downgrading and Upgrading Gray-Scale Ultrasound BI-RADS Categories of Benign and Malignant Masses With Optoacoustics: A Pilot Study.
Neuschler EI; Lavin PT; Tucker FL; Barke LD; Bertrand ML; Böhm-Vélez M; Destounis S; Dogan BE; Grobmyer SR; Katzen J; Kist KA; Makariou EV; Parris TM; Young CA; Butler R
AJR Am J Roentgenol; 2018 Sep; 211(3):689-700. PubMed ID: 29975115
[TBL] [Abstract][Full Text] [Related]
4. The uncertainty of boundary can improve the classification accuracy of BI-RADS 4A ultrasound image.
Wang H; Hu Y; Lu Y; Zhou J; Guo Y
Med Phys; 2022 May; 49(5):3314-3324. PubMed ID: 35261034
[TBL] [Abstract][Full Text] [Related]
5. 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 Mar; ():. PubMed ID: 38436433
[TBL] [Abstract][Full Text] [Related]
6. The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China.
Gu Y; Tian JW; Ran HT; Ren WD; Chang C; Yuan JJ; Kang CS; Deng YB; Wang H; Luo BM; Guo SL; Zhou Q; Xue ES; Zhan WW; Zhou Q; Li J; Zhou P; Zhang CQ; Chen M; Gu Y; Xu JF; Chen W; Zhang YH; Wang HQ; Li JC; Wang HY; Jiang YX
Acad Radiol; 2022 Jan; 29 Suppl 1():S26-S34. PubMed ID: 32768352
[TBL] [Abstract][Full Text] [Related]
7. Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study.
Stavros AT; Freitas AG; deMello GGN; Barke L; McDonald D; Kaske T; Wolverton D; Honick A; Stanzani D; Padovan AH; Moura APC; de Campos MCV
Eur Radiol; 2017 Oct; 27(10):4307-4315. PubMed ID: 28396996
[TBL] [Abstract][Full Text] [Related]
8. Accuracy of classification of breast ultrasound findings based on criteria used for BI-RADS.
Heinig J; Witteler R; Schmitz R; Kiesel L; Steinhard J
Ultrasound Obstet Gynecol; 2008 Sep; 32(4):573-8. PubMed ID: 18421795
[TBL] [Abstract][Full Text] [Related]
9. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
Hejduk P; Marcon M; Unkelbach J; Ciritsis A; Rossi C; Borkowski K; Boss A
Eur Radiol; 2022 Jul; 32(7):4868-4878. PubMed ID: 35147776
[TBL] [Abstract][Full Text] [Related]
10. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
[TBL] [Abstract][Full Text] [Related]
11. Role of BI-RADS Ultrasound Subcategories 4A to 4C in Predicting Breast Cancer.
Spinelli Varella MA; Teixeira da Cruz J; Rauber A; Varella IS; Fleck JF; Moreira LF
Clin Breast Cancer; 2018 Aug; 18(4):e507-e511. PubMed ID: 29066139
[TBL] [Abstract][Full Text] [Related]
12. Utilizing size-based thresholds of stiffness gradient to reclassify BI-RADS category 3-4b lesions increases diagnostic performance.
Shang J; Ruan LT; Wang YY; Zhang XJ; Dang Y; Liu B; Wang WL; Song Y; Chang SJ
Clin Radiol; 2019 Apr; 74(4):306-313. PubMed ID: 30755314
[TBL] [Abstract][Full Text] [Related]
13. Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.
Zhang Z; Zhang X; Lin X; Dong L; Zhang S; Zhang X; Sun D; Yuan K
Ultrason Imaging; 2019 Nov; 41(6):353-367. PubMed ID: 31615352
[TBL] [Abstract][Full Text] [Related]
14. Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images.
Kaplan E; Chan WY; Dogan S; Barua PD; Bulut HT; Tuncer T; Cizik M; Tan RS; Acharya UR
Med Eng Phys; 2022 Oct; 108():103895. PubMed ID: 36195364
[TBL] [Abstract][Full Text] [Related]
15. Computer aided classification system for breast ultrasound based on Breast Imaging Reporting and Data System (BI-RADS).
Shen WC; Chang RF; Moon WK
Ultrasound Med Biol; 2007 Nov; 33(11):1688-98. PubMed ID: 17681678
[TBL] [Abstract][Full Text] [Related]
16. Differential Diagnosis of Breast Category 3 and 4 Nodules Through BI-RADS Classification in Conjunction with Shear Wave Elastography.
Wang M; Yang Z; Liu C; Yan J; Zhang W; Sun J; Cui G
Ultrasound Med Biol; 2017 Mar; 43(3):601-606. PubMed ID: 27988221
[TBL] [Abstract][Full Text] [Related]
17. Influence of age on PPV of sonographic BI-RADS categories 3, 4, and 5.
Fu CY; Hsu HH; Yu JC; Hsu GC; Hsu KF; Chan DC; Ku CH; Lu TC; Chu CH
Ultraschall Med; 2011 Jan; 32 Suppl 1():S8-13. PubMed ID: 20603785
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Correlation of ultrasound, cytological, and histological features of 110 benign BI-RADS categories 4C and 5 nonpalpable breast lesions. The Institut Curie's experience.
Farras Roca JA; Tardivon A; Thibault F; Rouzier R; Klijanienko J
Cancer Cytopathol; 2021 Jun; 129(6):479-488. PubMed ID: 33689204
[TBL] [Abstract][Full Text] [Related]
20. The diagnostic performance of ultrasound computer-aided diagnosis system for distinguishing breast masses: a prospective multicenter study.
Wei Q; Yan YJ; Wu GG; Ye XR; Jiang F; Liu J; Wang G; Wang Y; Song J; Pan ZP; Hu JH; Jin CY; Wang X; Dietrich CF; Cui XW
Eur Radiol; 2022 Jun; 32(6):4046-4055. PubMed ID: 35066633
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
