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Mammography is using low-energy X-rays to screen the human breast and is utilized by radiologists to detect breast cancer. Typically radiologists require a mammogram with impeccable image quality for an accurate diagnosis. In this study, we…

图像与视频处理 · 电气工程与系统科学 2019-12-12 Dominik Eckert , Sulaiman Vesal , Ludwig Ritschl , Steffen Kappler , Andreas Maier

Feature matching is an important technique to identify a single object in different images. It helps machines to construct recognition of a specific object from multiple perspectives. For years, feature matching has been commonly used in…

计算机视觉与模式识别 · 计算机科学 2020-10-26 Hang Zhu , Zihao Wang

Ultrasound Tomography has seen a revival of interest in the past decade, especially for breast imaging, due to improvements in both ultrasound and computing hardware. In particular, three-dimensional ultrasound tomography, a fully…

计算物理 · 物理学 2020-05-27 Ashkan Javaherian , Felix Lucka , Ben Cox

Deep learning algorithms, especially convolutional neural networks, have become a methodology of choice in medical image analysis. However, recent studies in computer vision show that even a small modification of input image intensities may…

Applying machine learning technologies, especially deep learning, into medical image segmentation is being widely studied because of its state-of-the-art performance and results. It can be a key step to provide a reliable basis for clinical…

图像与视频处理 · 电气工程与系统科学 2021-03-08 Ziyang Wang

Ultrasound imaging is generally employed for real-time investigation of internal anatomy of the human body for disease identification. Delineation of the anatomical boundary of organs and pathological lesions is quite challenging due to the…

计算机视觉与模式识别 · 计算机科学 2019-01-23 Sumanth Nandamuri , Debarghya China , Pabitra Mitra , Debdoot Sheet

Recent ultrasound imaging modalities based on ultrasound computed tomography indicate a huge potential to detect pathologies is tissue due to altered biomechanical properties. Especially the imaging of speed-of-sound (SoS) distribution in…

医学物理 · 物理学 2021-07-05 Richard Rau , Dieter Schweizer , Valery Vishnevskiy , Orcun Goksel

Medical imaging is an essential tool in many areas of medical applications, used for both diagnosis and treatment. However, reading medical images and making diagnosis or treatment recommendations require specially trained medical…

计算机视觉与模式识别 · 计算机科学 2019-03-13 Wentao Zhu

Mammography is currently the primary imaging modality for breast cancer screening and plays an important role in cancer diagnostics. A standard mammographic image acquisition always includes the compression of the breast prior x-ray…

Photoacoustic (PA) image reconstruction involves acoustic inversion that necessitates the specification of the speed of sound (SoS) within the medium of propagation. Due to the lack of information on the spatial distribution of the SoS…

图像与视频处理 · 电气工程与系统科学 2024-06-05 Mengjie Shi , Tom Vercauteren , Wenfeng Xia

Ultrasound images are widespread in medical diagnosis for muscle-skeletal, cardiac, and obstetrical diseases, due to the efficiency and non-invasiveness of the acquisition methodology. However, ultrasound acquisition introduces noise in the…

图像与视频处理 · 电气工程与系统科学 2025-06-24 Simone Cammarasana , Paolo Nicolardi , Giuseppe Patanè

In healthcare, it is essential to explain the decision-making process of machine learning models to establish the trustworthiness of clinicians. This paper introduces BI-RADS-Net, a novel explainable deep learning approach for cancer…

计算机视觉与模式识别 · 计算机科学 2021-10-11 Boyu Zhang , Aleksandar Vakanski , Min Xian

Ultrasound imaging is widely used in medical diagnosis, especially for fetal health assessment. However, the availability of high-quality annotated ultrasound images is limited, which restricts the training of machine learning models. In…

计算机视觉与模式识别 · 计算机科学 2025-07-04 Yueying Tian , Elif Ucurum , Xudong Han , Rupert Young , Chris Chatwin , Philip Birch

One of the primary sources of suboptimal image quality in ultrasound imaging is phase aberration. It is caused by spatial changes in sound speed over a heterogeneous medium, which disturbs the transmitted waves and prevents coherent…

图像与视频处理 · 电气工程与系统科学 2024-07-03 Mostafa Sharifzadeh , Sobhan Goudarzi , An Tang , Habib Benali , Hassan Rivaz

Accurate Speed-of-Sound (SoS) reconstruction from acoustic waveforms is a cornerstone of ultrasound computed tomography (USCT), enabling quantitative velocity mapping that reveals subtle anatomical details and pathological variations often…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Yujia Wu , Shuoqi Chen , Shiru Wang , Yucheng Tang , Petr Bruza , Geoffrey P. Luke

Ultrasound imaging is safe, relatively affordable, and capable of real-time performance. One application of this technology is to visualize and to characterize human tongue shape and motion during a real-time speech to study healthy or…

图像与视频处理 · 电气工程与系统科学 2019-12-09 M. Hamed Mozaffari , Won-Sook Lee

Deep learning based Computer Aided Diagnosis (CAD) systems have been developed to treat breast ultrasound. Most of them focus on a single ultrasound imaging modality, either using representative static images or the dynamic video of a…

计算机视觉与模式识别 · 计算机科学 2023-08-22 Yunwen Huang , Hongyu Hu , Ying Zhu , Yi Xu

Ultrasound tongue imaging is used to visualise the intra-oral articulators during speech production. It is utilised in a range of applications, including speech and language therapy and phonetics research. Ultrasound and speech audio are…

音频与语音处理 · 电气工程与系统科学 2021-06-01 Aciel Eshky , Joanne Cleland , Manuel Sam Ribeiro , Eleanor Sugden , Korin Richmond , Steve Renals

Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-time during diagnostic and therapeutic procedures. High operator dependency and low reproducibility make ultrasound imaging and interpretation…

Medical ultrasound scanners are typically calibrated to the soft tissue average of 1540 m s$^{-1}$. In regions of different sound speed, for example, organs and tumours, the $B$-scan image then becomes a distortion of the true tissue…

医学物理 · 物理学 2018-10-30 T. Bland , J. Tong , B. Ward , N. G. Parker