Developing a deep learning model to predict the breast implant texture types with ultrasonography image: feasibility study (Preprint)
Ho Heon Kim,
Won Chan Jeong,
Kyungran Pi
et al.
Abstract:Background: Breast implants, including textured variants, have been widely used in aesthetic and reconstructive mammoplasty. However, the textured type, which is one of the shell types of breast implants, has been identified as a possible carcinogenic factor for lymphoma, specifically breast implant-associated anaplastic large cell lymphoma (BIA-ALCL). Identifying the texture type of the implant is critical to the diagnosis of BIA-ALCL. However, distinguishing the shell type can be difficult due to human memor… Show more
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