نتائج البحث

Evaluation of BI-RADS 3 Ultrasound Findings: the Frequency and Incidence of Malignant Lesions, and Tumor Size.

• Authors : Fejzić, Hanifa¹ ; Mujagić, Svjetlana¹; Izić, Belkisa¹

• Source: Acta Medica Academica. 2025, Vol. 54 Issue 1, p1-6. 6p.

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Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions.

• Authors : Yang, Liu¹ (AUTHOR); Zhang, Naiwen¹ (AUTHOR); Jia, Junying¹ (AUTHOR)

• Source: Scientific Reports. 12/28/2024, Vol. 14 Issue 1, p1-11. 11p.

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Comparative Analysis of Automated and Handheld Breast Ultrasound Findings for Small (≤1 cm) Breast Cancers Based on BI-RADS Category.

• Authors : Mun, Han Song¹ (AUTHOR) ; Ko, Eun Young² (AUTHOR) ; Han, Boo-Kyung² (AUTHOR)

• Source: Diagnostics (2075-4418). Jan2025, Vol. 15 Issue 2, p212. 11p.

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유방영상 판독과 자료체계: 장점과 한계.

• Authors : Ji Soo Choi^1,2

• Source: Journal of the Korean Society of Radiology (2951-0805). Jan2023, Vol. 84 Issue 1, p3-14. 12p.

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The value of contrast-enhanced ultrasound in the diagnosis of BI-RADS-US 4a lesions less than 2 cm in diameter.

• Authors : Yu, Mei-qin¹ (AUTHOR); Zhang, Li-li¹ (AUTHOR); Jiang, Li-ping¹ (AUTHOR)

• Source: Clinical Hemorheology & Microcirculation. 2023, Vol. 83 Issue 3, p195-205. 11p.

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BI-RADS 3 lesions in North Indian population: Their outcome and how to proceed for follow-up.

• Authors : Wahab, Shagufta¹ ; Najeeb, Naima¹; Zaka-ur-Rab, Atiya²

• Source: MGM Journal of Medical Sciences. Jan-Mar2023, Vol. 10 Issue 1, p3-11. 9p.

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Color-map virtual touch tissue imaging (CMV) combined with BI-RADS for the diagnosis of breast lesions.

• Authors : Lian, Kai-Mei¹ (AUTHOR); Lin, Teng¹ (AUTHOR)

• Source: Journal of X-Ray Science & Technology. 2022, Vol. 30 Issue 3, p447-457. 11p.

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Application of computer-aided diagnosis to predict malignancy in BI-RADS 3 breast lesions

• Authors : Ping He; Wen Chen; Ming-Yu Bai

Subjects: Breast cancer; Ultrasound; Computer-aided diagnosis

• Source: Heliyon, Vol 10, Iss 2, Pp e24560- (2024)

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BI-RADS 3级对乳腺病灶患者的诊断结果及影响因素分析.

• Authors : 金燕¹ ; 郑琳娜²; 韩敏²

• Source: Progress in Modern Biomedicine. 2019, Vol. 19 Issue 7, p1270-1382. 5p.

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基于超声构建的列线图模型在鉴别非平行位乳腺小肿块良恶 性中的应用价值.

• Authors : 李 沁¹; 丁志颖¹; 宗晴晴¹

• Source: Journal of Nanjing Medical University: Natural Sciences. Aug2025, Vol. 45 Issue 8, p1178-1185. 8p.

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