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Breast cancer is the most frequently diagnosed human cancer in the United States at present. Early detection is crucial for its successful treatment. X-ray mammography and digital breast tomosynthesis are currently the main methods for…

Breast cancer is one of the factors that cause the increase of mortality of women. The most widely used method for diagnosing this geological disease i.e. breast cancer is the ultrasound scan. Several key features such as the smoothness and…

人工智能 · 计算机科学 2021-08-10 Mohamed Mejri , Aymen Mejri , Oumayma Mejri , Chiraz Fekih

A method has been developed for the analysis of images of sentinel lymph nodes generated by a spectral scanning device. The aim is to classify the nodes, excised during surgery for breast cancer, as normal or metastatic. The data from one…

A precise assessment of the risk of breast lesions can greatly lower it and assist physicians in choosing the best course of action. To categorise breast lesions, the majority of current computer-aided systems only use characteristics from…

图像与视频处理 · 电气工程与系统科学 2025-08-25 Muhaisin Tiyumba Nantogmah , Abdul-Barik Alhassan , Salamudeen Alhassan

Magnetic resonance imaging (MRI) is an effective imaging modality for identifying and localizing breast lesions in women. Accurate and precise lesion segmentation using a computer-aided-diagnosis (CAD) system, is a crucial step in…

计算机视觉与模式识别 · 计算机科学 2017-12-15 Sulaiman Vesal , Andres Diaz-Pinto , Nishant Ravikumar , Stephan Ellmann , Amirabbas Davari , Andreas Maier

For a century, clinical X-ray imaging has visualised only the attenuation properties of tissue, which fundamentally limits the contrast, particularly in soft tissues like the breast. Imaging based on refraction can overcome this limitation,…

Spectral imaging is a method in medical x-ray imaging to extract information about the object constituents by the material-specific energy dependence of x-ray attenuation. Contrast-enhanced spectral imaging has been thoroughly investigated,…

医学物理 · 物理学 2021-01-26 Erik Fredenberg , Magnus Aslund , Bjorn Cederstrom , Mats Lundqvist , Mats Danielsson

Material decomposition in X-ray imaging uses the energy-dependence of attenuation to virtually decompose an object into specific constituent materials. X-ray phase contrast imaging is a developing technique that can enhance image contrast…

Structural and mechanical differences between cancerous and healthy tissue give rise to variations in macroscopic properties such as visual appearance and elastic modulus that show promise as signatures for early cancer detection. Atomic…

Description of purpose: Contrast-enhanced spectral mammography can be used to guide needle biopsies. However, in vertical approach the compressed breast is deformed generating a so-called bump in the paddle aperture, which may interfere…

Background: Magnetic resonance imaging (MRI) has high sensitivity for breast cancer detection, but interpretation is time-consuming. Artificial intelligence may aid in pre-screening. Purpose: To evaluate the DINOv2-based Medical Slice…

The improved diagnostic accuracy of ultrasound breast examinations remains an important goal. In this study, we propose a biophysical feature based machine learning method for breast cancer detection to improve the performance beyond a…

图像与视频处理 · 电气工程与系统科学 2022-07-15 Jihye Baek , Avice M. O'Connell , Kevin J. Parker

New statistical methods were employed to improve the ability to distinguish benign from malignant breast tissue ex vivo in a recent study. The ultimately aim was to improve the intraoperative assessment of positive tumour margins in…

定量方法 · 定量生物学 2018-05-04 A Santaolalla , M Sheikh , M Van Hemelrijck , A Portieri , ACC Coolen

Automated breast ultrasound (ABUS) is a new and promising imaging modality for breast cancer detection and diagnosis, which could provide intuitive 3D information and coronal plane information with great diagnostic value. However, manually…

图像与视频处理 · 电气工程与系统科学 2020-08-03 Junxiong Yu , Chaoyu Chen , Xin Yang , Yi Wang , Dan Yan , Jianxing Zhang , Dong Ni

Breast tissue segmentation into dense and fat tissue is important for determining the breast density in mammograms. Knowing the breast density is important both in diagnostic and computer-aided detection applications. There are many…

计算机视觉与模式识别 · 计算机科学 2013-10-02 Mario Muštra , Mislav Grgić

Breast cancer is the most common type of cancer among women worldwide. The standard histopathology of breast tissue, the primary means of disease diagnosis, involves manual microscopic examination of stained tissue by a pathologist. Because…

定量方法 · 定量生物学 2017-11-07 Hassaan Majeed , Tan Huu Nguyen , Mikhail Eugene Kandel , Andre Kajdacsy-Balla , Gabriel Popescu

Malignant and benign breast tumors present differently in their shape and size on sonography. Morphological information provided by tumor contours are important in clinical diagnosis. However, ultrasound images contain noises and tissue…

计算机视觉与模式识别 · 计算机科学 2020-09-08 Dar-Ren Chen , Yu-Chih Lin , Yu-Len Huang

X-ray Fluorescence Computed Tomography(XFCT) is a prevalent experimental technique which is utilized to investigate the spatial distribution of elements in sample. The sensitivity of L-shell XFCT of some elements is lower than that of…

仪器与探测器 · 物理学 2014-04-30 Liu Long , Huang Yang , Ma Bo , Xu Qing , Yan Lingtong , Li Li , Feng Songlin , Feng Xiangqian

Ultrasound imaging plays an important role in breast lesion differentiation. However, diagnostic accuracy depends on ultrasonographer experience. Various computer aided diagnosis systems has been developed to improve breast cancer detection…

计算机视觉与模式识别 · 计算机科学 2017-06-07 Michał Byra , Katarzyna Dobruch-Sobczak , Hanna Piotrzkowska-Wróblewska , Andrzej Nowicki

Spectral imaging is the acquisition of multiple images of an object at different energy spectra. In mammography, dual-energy imaging (spectral imaging with two energy levels) has been investigated for several applications, in particular…

医学物理 · 物理学 2021-02-02 Karl Berggren , Mats Danielsson , Erik Fredenberg