Ultrasound imagesGray level co-occurrence matrix (GLCM)Support vector machine k-Nearest neighborConfusion matrixBackground: Breast cancer is one of the leading causes of cancer death in women around the world. In order to reduce the death rate, the tumors have to be detected at the early stage...
Breast Ultrasound Dataset is categorized into three classes: normal, benign, and malignant images. Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning.关键词:...
Breast cancer is a common malignancy and a leading cause of cancer-related deaths in women worldwide. Its early diagnosis can significantly reduce the morbidity and mortality rates in women. To this end, histopathological diagnosis is usually followed as
There is also evidence of acoustic shadowing posteriorly. These findings on sonography suggest malignant mass of the breast. Images courtesy of Dr. Nirmali Dutta, UAE. Carcinoma of breast: case-2 The above ultrasound images show a typical proven case of cancer of the left breast. The tumor ...
Diagnostic of Breast Cancer: Continuous Force Field Analysis for Ultrasound Image Segmentation.The project offers a new approach to segmentation of ultrasound images of the breast tumors based on the active contour method combined with a new force field analysis techniques and fusion of ultrasound, Dop...
Breast ultrasound images can produce great results in classification, detection, and segmentation of breast cancer when combined with machine learning. 机译:乳腺癌是全世界女性中最常见的死亡原因之一。早期发现有助于减少早期死亡人数。本文提供的数据使用超声扫描回顾了乳腺癌的医学图像。乳房超声数据集分为...
Oncology & Cancer Deep learning approach enhances HER2 scoring in breast cancer The human epidermal growth factor receptor 2 (HER2) is a critical protein in the growth of cancer cells, and its expression level is a vital indicator of breast cancer aggressiveness. Traditionally, HER2 status is asse...
In this study, a novel deep learning-based methodology was investigated to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the quantitative ultrasound (QUS) multi-parametric imaging at pre-treatment. QUS multi-parametric images of breast tumors were generated using the data ac...
The paper introduces an algorithm for speckle noise reduction in breast cancer ultrasound images. Based on wavelet analysis and filtering, we employed a combination of homogeneity filtering and modified bayes shrink methods to remove noise while keeping the sharpness of important features. First, we ...
Background Breast cancer is one of the most serious diseases threatening women's health. Early screening based on ultrasound can help to detect and treat tumours in the early stage. However, due to the lack of radiologists with professional skills, ultrasound-based breast cancer screening has not...