Breast cancer has become one of the most cancers among women in worldwide countries, as well as a leading cause of death. The use of ultrasound images in medical diagnosis and treatment of patients is critical. The success of cancer treatment and outcome is largely dependent on early detection...
经直肠前列腺超声肌活检 2018 Transrectal Ultrasound and Prostate Biopsy 2024-10-21 00:33 前列腺癌 2013 Prostate Cancer (Labelled) - 3D Medical Animation 2024-10-21 05:49 核磁超声引导前列腺活检 2011 Prostate Biopsy Targeted Biopsy Using MR-Ultrasound Fusion 2024-10-21 06:48 经直肠超声引导前列腺...
cancerpatient diagnosisbiomedical ultrasonicsultrasonic imagingAn adjunctive ultrasound mammography system and associated methods are described in which an ultrasound image being displayed near an x-ray mammogram image may be superimposed thereon or thereunder by a user for facilitating rapid comprehension of ...
Previous work using deep learning for breast ultrasound has been based predominantly on small datasets on the scale of thousands of images. Many of these efforts also rely on expensive and time-consuming manual annotation of images to obtain image-level (presence of cancer in each image) or pixe...
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
Kopans, “Breast Cancer Screening with Ultrasonography,” Lancet, vol. 354, pp. 2096-2097 (Dec. 18/25, 1999). LABSONICS, Inc., “LABSONICS Ultrasound Breast Scanner: Accurate, High-Performance Investigation of the Breast for Confident Diagnosis,” 8-page product brochure from LABSONICS, Inc....
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:...
Introduction The strength of ultrasound (US) is its use of non-ionizing radiation, high resolution, low cost, and high sensitivity and specificity when used for solving focal symptomatic problems and providing easy image guidance for needle biopsy. The rapid advances in US technology over the past...
Radiomics reflects the texture and morphological features of tumours by quantitatively analysing the grey values of medical images. We aim to develop a nomogram incorporating radiomics and the Breast Imaging Reporting and Data System (BI-RADS) for predicting breast cancer in BI-RADS ultrasound (US) ...
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...