Deep Learning Applied to Diffusion-weighted Imaging for Differentiating Malignant from Benign Breast Tumors without Lesion Segmentation

Authors: Mami Iima, Ryosuke Mizuno, Masako Kataoka, Kazuki Tsuji, Toshiki Yamazaki, Akihiko Minami, Maya Honda, Keiho Imanishi, Masahiro Takada, Yuji Nakamoto

Published: 2024-11-20

DOI: 10.1148/ryai.240206

Source: Full article

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Abstract

Deep learning models, particularly small two-dimensional convolutional neural networks, showed good performance in differentiating between benign and malignant breast tumors using diffusion-weighted MRI, compared with breast radiologists.