Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change by Cheng Xue, Fuk-Hay Tang, Christopher W. K. Lai, Lars J. Grimm, Joseph Y. Lo

“…Methods: This study proposed a hybrid individual-specific registration model of the breast combining finite element analysis, property optimization, and affine transformation to register breast images. During the registration process, the mechanical properties of the breast tissues were individually assigned using an optimization process, which allowed the model to become patient specific. …”
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Conventional Imaging and Sonoelastography Findings of Oncocytic Breast Carcinoma in a Man by Işıl Başara Akın, Duygu Gürel, Ahmet Peker, Gözde Tokatlı Çamkerten, Süleyman Özkan Aksoy, Ali İbrahim Sevinç, Pınar Balcı

Subjects: “…breast imaging…”
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Comparison of X-ray-Mammography and Planar UWB Microwave Imaging of the Breast: First Results from a Patient Study by Dennis Wörtge, Jochen Moll, Viktor Krozer, Babak Bazrafshan, Frank Hübner, Clara Park, Thomas J. Vogl

Subjects: “…microwave breast imaging…”
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Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D) by Shaode Yu, Shibin Wu, Ling Zhuang, Xinhua Wei, Mark Sak, Duric Neb, Jiani Hu, Yaoqin Xie

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Fat necrosis: A consultant’s conundrum by Jinita Majithia, Purvi Haria, Palak Popat, Aparna Katdare, Sonal Chouhan, Kunal Bharat Gala, Suyash Kulkarni, Meenakshi Thakur

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Impact of same day screening mammogram results on women’s satisfaction and overall breast cancer screening experience: a quality improvement survey analysis by Biren A. Shah, Anicia Mirchandani, Srishti Abrol

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Multimodality Review of Imaging Features Following Breast Reduction Surgery by Sally H. Goudreau, Meghan A. Woughter, Stephen J. Seiler

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Breast metastases from extra-mammary cancers: A report of 3 challenging cases and literature review by Caroline Chabot, MD, Corneliu-George Coman, MD, Felix Kleine Borgmann, PhD, Flaviu Crisan, MD, Daniel Janssens, MD, Dounia El Azzouzi, MD

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Diabetic Lymphocytic Mastitis: A Clinico-Imaging Mimicker of Malignancy [Clinico-Pathologic Review] by Smita B. Sankaye, Sushil Ghanshyam Kachewar

Subjects: “…Lymphocytic mastitis Breast Imaging; Diabetes; Breast cancer…”
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Breast ultrasound diagnostic performance and outcomes for mass lesions using Breast Imaging Reporting and Data System category 0 mammogram by Paulo Almazy Zanello, Andre Felipe Cica Robim, Tatiane Mendes Gonçalves de Oliveira, Jorge Elias Junior, Jurandyr Moreira de Andrade, Carlos Ribeiro Monteiro, Joaquim Moraes Sarmento Filho, Helio Humberto Angotti Carrara, Valdair Francisco Muglia

“…PURPOSE: To evaluate the outcomes and diagnostic performance of ultrasonography after a Breast Imaging Reporting and Data System (Bi-RADS) category 0 mammogram. …”
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Automated Breast Lesion Detection and Characterization with the Wavelia Microwave Breast Imaging System: Methodological Proof-of-Concept on First-in-Human Patient Data by Angie Fasoula, Luc Duchesne, Julio Daniel Gil Cano, Brian M. Moloney, Sami M. Abd Elwahab, Michael J. Kerin

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Semantic Segmentation of the Malignant Breast Imaging Reporting and Data System Lexicon on Breast Ultrasound Images by Using DeepLab v3+ by Wei-Chung Shia, Fang-Rong Hsu, Seng-Tong Dai, Shih-Lin Guo, Dar-Ren Chen

“…In this study, an advanced semantic segmentation method and deep convolutional neural network was applied to identify the Breast Imaging Reporting and Data System (BI-RADS) lexicon for breast ultrasound images, thereby facilitating image interpretation and diagnosis by providing radiologists an objective second opinion. …”
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An Improved Nomogram to Reduce False-Positive Biopsy Rates of Breast Imaging Reporting and Data System Ultrasonography Category 4A Lesions by Linyue Hai MD, Youqin Feng MD, Jingjing Zhao MD, Qiang Tang PhD, Xuefei Wang MD, Xuchen Cao PhD, Chunhua Xiao PhD

“…Background: The NCCN clinical guidelines recommended core needle biopsy for breast lesions classified as Breast Imaging Reporting and Data System (BI-RADS) 4, while category 4A lesions are only 2-10% likely to be malignant. …”
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ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images by Aymen M. Al-Hejri, Riyadh M. Al-Tam, Muneer Fazea, Archana Harsing Sable, Soojeong Lee, Mugahed A. Al-antari

“…For validation purposes using the real breast images, the proposed CAD system provides encouraging prediction accuracies of 97.16% for binary and 89.40% for multi-class approaches. …”
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Effect of HIFU-Induced Thermal Ablation in Numerical Breast Phantom by Sumit Kumar Yadav, Souradip Paul, Mayanglambam Suheshkumar Singh

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Desmoid Tumor and Implant-Based Breast Reconstruction by Catherine Kilmartin, Clinton Westover, Shyam Raghavan, Patrick M. Dillon, Chris A. Campbell

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Pregnancy-Associated Breast Cancer: A Diagnostic and Therapeutic Challenge by Francesca Galati, Valentina Magri, Paula Andrea Arias-Cadena, Giuliana Moffa, Veronica Rizzo, Marcella Pasculli, Andrea Botticelli, Federica Pediconi

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A Multicentric, Single Arm, Prospective, Stratified Clinical Investigation to Confirm MammoWave’s Ability in Breast Lesions Detection by Daniel Álvarez Sánchez-Bayuela, Navid Ghavami, Cristina Romero Castellano, Alessandra Bigotti, Mario Badia, Lorenzo Papini, Giovanni Raspa, Gianmarco Palomba, Mohammad Ghavami, Riccardo Loretoni, Massimo Calabrese, Alberto Tagliafico, Gianluigi Tiberi

Subjects: “…breast imaging…”
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American Joint Committee on Cancer’s Staging System for Breast Cancer, Eighth Edition: Summary for Clinicians by Haoling Zhu, Başak E. Doğan

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Comparison of the Magnetic Resonance Imaging Findings of Paget’s Disease of the Breast and Malignant Tumor Invasion of the Nipple-Areola Complex by Almila Coşkun Bilge, Hale Aydın, Işıl Esen Bostancı, Özge Tanişman, Diba Saygılı Öz

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