We evaluate our method on a challenging clinical problem, i.e., histopathological image-guided diagnosis of intraductal breast lesions, and it achieves 91.67% ...
ical image-guided diagnosis of intraductal breast lesions, and it achieves 91.67% classification accuracy on 120 breast tis- sue images from 40 patients.
We evaluate our method on a challenging clinical problem, i.e., histopatholog-ical image-guided diagnosis of intraductal breast lesions, and it achieves 91.67% ...
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The evaluation was performed on captured images of intraductal breast lesions, and its classification accuracy was reported as 91.67%; a second retrieval ...
We evaluate our method on a challenging clinical problem, i.e., histopathological image-guided diagnosis of intraductal breast lesions, and it achieves 91.67% ...
Bibliographic details on Fusing heterogeneous features for the image-guided diagnosis of intraductal breast lesions.
We evaluate our method on a challenging clinical problem, i.e., histopathological image-guided diagnosis of intraductal breast lesions, and it achieves 91:67% ...
Jul 20, 2023 · High-risk breast lesions comprise a heterogeneous group of proliferative lesions that are precursors of breast carcinogenesis and are associated ...
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Aug 18, 2023 · We aim to develop a fully automatic system to detect and classify breast lesions using multiple contrast-enhanced mammography (CEM) images.
The purpose of this study was to assess the potential of a deep learning model to discriminate between benign and malignant breast lesions using magnetic ...
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