A core needle biopsy was done for each patient to confirm the cancer diagnosis and grade the tumor. The initial tumor size was determined for each patient using the magnetic resonance (MR) images of the affected breast. Ultrasound B-mode images and radiofrequency (RF) data were acquired from...
Ultrasound image segmentationAutomatic tumor segmentation in breast ultrasound (BUS) images is still a challenging task because of many sources of uncertainty, such as speckle noise, very low signal-to-noise ratio, shadows that make the anatomical boundaries of tumors ambiguous, as well as the ...
Breast tumor classification through learning from noisy labeled ultrasound imagesbreast ultrasound imagedeep leaningweakly supervised learningPurpose: To train deep learning models to differentiate benign and malignant breast tumors in ultrasound images, we need to collect many training samples with clear ...
Experiments of benign and malignant breast tumor in ultrasound images have shown that our method can extract the breast tumor edge faster than many conventional methods can do separately, and the results are reliable and credible. Our experiments demonstrate ...
Posterior acoustic shadowing (PAS) can bias breast tumor segmentation and classification in ultrasound images. In this paper, half-contour features are proposed to classify benign and malignant breast tumors with PAS, considering the fact that the upper half of the tumor contour is less affected by...
At some point, every breast imager has one of those unsettling moments where they discover an advanced tumor and wonder ... May 04, 2023 News | Breast Imaging Breast Cancer Risk Models May Incorrectly Classify Many Women February 17, 2023 — Breast cancer risk estimates for individual women...
1) breast tumor ultrasound image 乳腺肿瘤超声图像1. Furthermore, based on the grayscale distribution characteristics of the breast tumor ultrasound images and on the hypothesis of piecewise constant in the C-V model, a semiautomatic segmentation flow has been presented, in which the rough contour...
PURPOSE: This work aims to investigate the combination of morphological and texture parameters in distinguishing between malignant and benign breast tumors in ultrasound images. METHODS: Linear discriminant analysis was applied to sets of up to five parameters, and then the performances were assessed usi...
In breast ultrasound (BUS) image, the ROI is a breast tumor region. Because of poor image qu... L Bo,HD Cheng,J Huang,... - 《Pattern Recognition》 被引量: 152发表: 2010年 Computer-Aided Diagnosis for the Classification of Breast Masses in Automated Whole Breast Ultrasound Images New ...
ScienceDirect - Academic Radiology : \nUltrasound Breast Tumor Image Computer-Aided Diagnosis With Texture and Morphological Features1Wu, WenJieMoon, Woo KyungWu, W.J., Kyung Moon, W.: Ultrasound breast tumor image computer-aided diag- nosis with texture and morphological fe...