Transformer-based Deep Neural Network for Breast Cancer Classification on Digital Breast Tomosynthesis Images
Author:
Affiliation:
1. From Lunit, 5F, 374 Gangnam-daero, Gangnam-gu, Seoul 06241, Republic of Korea.
Funder
Lunit
Publisher
Radiological Society of North America (RSNA)
Subject
Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://pubs.rsna.org/doi/pdf/10.1148/ryai.220159
Reference12 articles.
1. A review of breast tomosynthesis. Part I. The image acquisition process
2. A review of breast tomosynthesis. Part II. Image reconstruction, processing and analysis, and advanced applications
3. Digital Breast Tomosynthesis: Concepts and Clinical Practice
4. Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art
5. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
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4. Classifying Breast Tumors in Digital Tomosynthesis by Combining Image Quality-Aware Features and Tumor Texture Descriptors;Machine Learning and Knowledge Extraction;2024-03-11
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