This study proposes a CADx system with an automatic slice selection method to reduce physicians' review burden and recognize breast tumor malignancy.
When investigating a suspicious region in the breast, operators meticulously record the abnormalities in the scanning process and suggest a biopsy examination ...
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May 27, 2022 · This study presents a model that automatically segments and extracts radiomics and can enable the clinical practice to find breast lesions while performing ...
Dec 9, 2022 · Tumor segmentation of BUS images can facilitate doctors in localizing tumors and is a necessary step for computer-aided diagnosis systems. While ...
Jan 21, 2022 · This paper proposes a new framework for breast cancer classification from ultrasound images that employs deep learning and the fusion of the best selected ...
Dec 18, 2023 · This study proposes a three-dimensional breast nodule detection system based on a simple two-dimensional deep-learning model exploiting automated breast ...
Dec 21, 2021 · We aimed to develop a weakly-supervised DL algorithm that diagnosis breast cancer at ultrasound without image annotation.
puter-Aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmo- nary nodules in CT scans, Scientific Reports ...
The purpose of this review is to examine how various deep learning methods can be applied to breast cancer screening workflows.
Conclusion: In this work, a machine-learning scheme is employed to detect/classify the disease using BUI and achieves promising results. In future, we will test ...