دورية أكاديمية
MAM-E: Mammographic synthetic image generation with diffusion models
| العنوان: | MAM-E: Mammographic synthetic image generation with diffusion models |
|---|---|
| المؤلفون: | Montoya-del-Angel, Ricardo, Sam-Millan, Karla, Vilanova, Joan Carles, Martí Marly, Robert |
| المساهمون: | Agencia Estatal de Investigación |
| المصدر: | Sensors, 2024, vol. 24, núm. 7, p. 2976 ; Articles publicats (D-ATC) ; Montoya-del-Angel, Ricardo Sam-Millan, Karla Vilanova, Joan Carles Martí Marly, Robert 2024 MAM-E: Mammographic synthetic image generation with diffusion models Sensors 24 7 2976 |
| بيانات النشر: | MDPI (Multidisciplinary Digital Publishing Institute) |
| سنة النشر: | 2024 |
| المجموعة: | Universitat de Girona: DUGiDocs (UdG Digital Repository) |
| مصطلحات موضوعية: | Mama -- Radiografia, Breast -- Radiography, Imatgeria mèdica, Imaging systems in medicine, Intel·ligència artificial -- Aplicacions a la medicina, Artificial intelligence -- Medical applications |
| الوصف: | Generative models are used as an alternative data augmentation technique to alleviate the data scarcity problem faced in the medical imaging field. Diffusion models have gathered special attention due to their innovative generation approach, the high quality of the generated images, and their relatively less complex training process compared with Generative Adversarial Networks. Still, the implementation of such models in the medical domain remains at an early stage. In this work, we propose exploring the use of diffusion models for the generation of high-quality, full-field digital mammograms using state-of-the-art conditional diffusion pipelines. Additionally, we propose using stable diffusion models for the inpainting of synthetic mass-like lesions on healthy mammograms. We introduce MAM-E, a pipeline of generative models for high-quality mammography synthesis controlled by a text prompt and capable of generating synthetic mass-like lesions on specific regions of the breast. Finally, we provide quantitative and qualitative assessment of the generated images and easy-to-use graphical user interfaces for mammography synthesis ; This research was possible thanks to funding for the Erasmus+: Erasmus Mundus Joint Master’s Degree (EMJMD) scholarship (2021–2023), with project reference 610600-EPP-1-2019-1-ES-EPPKA1-JMD-MOB, the project VICTORIA, “PID2021-123390OB-C21” from the Ministerio de Ciencia e Innovación of Spain, and the Joan Oró grant for the hiring of pre-doctoral research staff in training (2023) “ref. BDNS 657443” from the Government of Catalonia |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/eissn/1424-8220; PID2021-123390OB-C21; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123390OB-C21/ES/ENSAYOS CLÍNICOS VIRTUALES PARA ALGORITMOS DE IA EXPLICABLE EN EL CÁNCER DE MAMA/; http://hdl.handle.net/10256/24723Test |
| الإتاحة: | https://doi.org/10.3390/s24072076Test http://hdl.handle.net/10256/24723Test |
| حقوق: | Attribution 4.0 International (CC BY 4.0) ; https://creativecommons.org/licenses/by/4.0Test/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.325C032C |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |