Automated breast tumor detection and segmentation with a novel computational framework of whole ultrasound images

L Liu, K Li, W Qin, T Wen, L Li, J Wu, J Gu - Medical & biological …, 2018 - Springer
Due to the low contrast and ambiguous boundaries of the tumors in breast ultrasound (BUS)
images, it is still a challenging task to automatically segment the breast tumors from the …

A benign and malignant breast tumor classification method via efficiently combining texture and morphological features on ultrasound images

M Wei, Y Du, X Wu, Q Su, J Zhu… - … methods in medicine, 2020 - Wiley Online Library
The classification of benign and malignant based on ultrasound images is of great value
because breast cancer is an enormous threat to women's health worldwide. Although both …

A discriminative level set method with deep supervision for breast tumor segmentation

S Hussain, X Xi, I Ullah, SA Inam, F Naz… - Computers in Biology …, 2022 - Elsevier
Background: Breast tumor segmentation in B-mode ultrasound imaging is important for
analyzing, identifying, and diagnosing tumors. The level set is an approach most widely …

[HTML][HTML] The effect of filtering algorithms for breast ultrasound lesions segmentation

FM Osman, MH Yap - Informatics in Medicine Unlocked, 2018 - Elsevier
Breast ultrasound images have a complicated structure, which is difficult to be segmented
due to the fact that it has low signal and affected by noise ratio. Recent research …

Assessment of despeckle filtering algorithms for segmentation of breast tumours from ultrasound images

J Virmani, R Agarwal - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
In the present work, the performance assessment of despeckle filtering algorithms has been
carried out for (a) noise reduction in breast ultrasound images and (b) segmentation of …

Model based deep learning method for focused ultrasound pathway scanning

S Lari, M Kohandel, HJ Kwon - Scientific Reports, 2024 - nature.com
The primary purpose of high-intensity focused ultrasound (HIFU), a non-invasive medical
therapy, is to precisely target and ablate tumors by focusing high-frequency ultrasound from …

[HTML][HTML] Adjusted quick shift phase preserving dynamic range compression method for breast lesions segmentation

FM Osman, MH Yap - Informatics in Medicine Unlocked, 2020 - Elsevier
Ultrasound imaging systems produce images that are affected by speckle. This is mainly due
to the interference of the returning wave at the transducer aperture that degrades images …

Saliency-guided automatic detection and segmentation of tumor in breast ultrasound images

H Ramadan, C Lachqar, H Tairi - Biomedical Signal Processing and Control, 2020 - Elsevier
The development of computer aided diagnosis (CAD) systems for the task of tumor detection
and segmentation in breast ultrasound (BUS) images presents one of the most active …

A review of segmentation algorithms applied to B-mode breast ultrasound images: A characterization approach

Kriti, J Virmani, R Agarwal - Archives of Computational Methods in …, 2021 - Springer
Ultrasound imaging modality is used prominently for breast cancer screening and diagnosis
because of its safety, portability, ease of use and low cost. Over the years, computer-assisted …

Automatic classification of benign and malignant breast tumors in ultrasound image with texture and morphological features

M Wei, Y Du, X Wu, J Zhu - 2019 IEEE 13th International …, 2019 - ieeexplore.ieee.org
Breast cancer has become one of the malignant tumors with the highest morbidity and
mortality among women in the world, which seriously threatens women's health. Because …