نتائج البحث

Two-stage augmentation for detecting malignancy of BI-RADS 3 lesions in early breast cancer.

• Authors : Tian, Huanhuan¹ (AUTHOR); Cai, Li¹ (AUTHOR); Gui, Yu² (AUTHOR)

• Source: BMC Cancer. 4/17/2025, Vol. 25 Issue 1, p1-13. 13p.

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Intra- and peri-tumoral radiomics based on dynamic contrast-enhanced MRI for prediction of benign disease in BI-RADS 4 breast lesions: a multicentre study.

• Authors : Hu, Yalan^1,2 (AUTHOR); Cai, Zhenhai³ (AUTHOR); Aierken, Nijiati⁴ (AUTHOR)

• Source: Radiation Oncology. 2/28/2025, Vol. 20 Issue 1, p1-11. 11p.

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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines.

• Authors : Hussain, Sadam¹ (AUTHOR) ; Naseem, Usman² (AUTHOR); Ali, Mansoor¹ (AUTHOR)

• Source: BMC Medical Informatics & Decision Making. 10/24/2024, p1-10. 10p.

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Ultrasound real-time elastography can predict malignancy in BI-RADS-US 3 lesions.

• Authors : Wojcinski, Sebastian¹ ; Boehme, Esther²; Farrokh, André²

• Source: BMC Cancer. 2013, Vol. 13 Issue 1, p1-11. 11p. 4 Color Photographs, 5 Charts, 1 Graph.

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Application of ultrasound artificial intelligence in the differential diagnosis between benign and malignant breast lesions of BI-RADS 4A.

• Authors : Niu, Sihua¹ (AUTHOR); Huang, Jianhua² (AUTHOR); Li, Jia³ (AUTHOR)

• Source: BMC Cancer. 10/2/2020, Vol. 20 Issue 1, p1-7. 7p.

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Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.

• Authors : Huang, Yunzhi^1,2; Han, Luyi²; Dou, Haoran³

• Source: BioMedical Engineering OnLine. 1/24/2019, Vol. 18 Issue 1, p1-18. 18p.

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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy?

• Authors : Rjoop, Wesam¹ (AUTHOR) ; Rjoop, Anwar² (AUTHOR) ; Almohtaseb, Alia² (AUTHOR)

• Source: BMC Women's Health. 2/3/2025, Vol. 25 Issue 1, p1-8. 8p.

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The Chiraiya project: a retrospective analysis of breast cancer detection gaps addressed via mobile mammography in Jammu Province, India.

• Authors : Gupta, Geetanjali¹ (AUTHOR); Jamwal, Neetu² (AUTHOR) ; Gupta, Raghav³ (AUTHOR)

• Source: BMC Public Health. 8/1/2024, Vol. 24 Issue 1, p1-9. 9p.

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Comparison of 99m Tc-MIBI scintigraphy, ultrasound, and mammography for the diagnosis of BI-RADS 4 category lesions.

• Authors : Liu H; Department of Nuclear Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, China. .; Zhan H

Subjects: Breast Neoplasms/Breast Neoplasms/Breast Neoplasms/*diagnosis ; Carcinoma, Ductal, Breast/Carcinoma, Ductal, Breast/Carcinoma, Ductal, Breast/*diagnosis ; Carcinoma, Intraductal, Noninfiltrating/Carcinoma, Intraductal, Noninfiltrating/Carcinoma, Intraductal, Noninfiltrating/*diagnosis

• Source: BMC cancer [BMC Cancer] 2020 May 24; Vol. 20 (1), pp. 463. Date of Electronic Publication: 2020 May 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium:

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Diagnostic performance of ultrasound S-Detect technology in evaluating BI-RADS-4 breast nodules ≤ 20 mm and > 20 mm.

• Authors : Xing, Boyuan^1,2 (AUTHOR); Gu, Chen¹ (AUTHOR); Fu, Chenghui¹ (AUTHOR)

• Source: BMC Cancer. 8/12/2025, Vol. 25 Issue 1, p1-9. 9p.

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