Control experiments on the BUSI dataset.

<div><p>Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for diagnosing breast cancer, and ultrasound is widely used for screening as a non-invasive and effective method for breast examination. In this study, we used the Mendeley and BUSI d...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hao Zhang (15339) (author)
مؤلفون آخرون:	He Liang (5151095) (author), Guo Wenjia (20036991) (author), Ma Jing (17687604) (author), Sun Gang (20036994) (author), Ma Hongbing (20036997) (author)
منشور في:	2024
الموضوعات:	Cell Biology Cancer Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified guiding clinical decision feature extraction capabilities experimental results demonstrate dice similarity coefficient deep learning approaches comprising 250 images three attention modules scale attention modules channel attention modules densely connected network deep learning method div >< p diagnosing breast cancer breast ultrasound images breast cancer 780 images multiple attention attention gates network ’ breast masses breast examination method achieves effective method common cancer source code relevant features mass segmentation encoding stage distinctive signs decoding stage crucial role better capture accurate measurement 487 benign 150 malignant 133 normal 100 benign
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Control experiments on the BUSI dataset.

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