DIAGNOSIS OF NONPALPABLE BREAST CANCER IN PREMENOPAUSAL WOMEN by N. V. Nudnov, E. V. Novikova

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Mammography reporting dataset with BI-RADS system for natural language processing applications: Addressing public data gaps in SpanishZENODO by José Luis Vázquez Noguera, Alejandro Torres-Hurtado, Helena Gómez-Adorno, Julio César Mello-Román, Enrique Javier Fleitas-Alvarez, Federico Fernando Espinola Schulze, Miguel Garcia-Torres, Carlos Domingo Méndez Gaona, Pedro Esteban Gardel Sotomayor, Silvia Vázquez Noguera, Norma Elizabeth Zaracho Amarilla, Oxades Wilfrido Gamarra Esquivel

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Analysis of Mammography BI-RADS Distribution and Follow-up Ultrasound Assessment: A Single-Center Study by Kankaya B, Buyukasik S, Altundal YE, Topcu FS, Rahmanbakhsh P, Etemad A, Kapan S, Alis H

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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 by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

Subjects: “…BI-RADS classification…”
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A nomogram for diagnosis of BI-RADS 4 breast nodules based on three-dimensional volume ultrasound by Xianping Jiang, Chen Chen, Jincao Yao, Liping Wang, Chen Yang, Wei Li, Di Ou, Zhiyan Jin, Yuanzhen Liu, Chanjuan Peng, Yifan Wang, Dong Xu

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Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters by Tiantian Ren, Zhenzhen Gao, Lufeng Yang, Weibo Cheng, Xiao Luo

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Improving BI-RADS Mammographic Classification With Self-Supervised Vision Transformers and Cascade Learning by Abdelrahman Abdallah, Mahmoud Salaheldin Kasem, Ibrahim Abdelhalim, Norah Saleh Alghamdi, Ayman El-Baz

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