Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …

Breast cancer is a leading cause of mortality among women. The patient's survival rate is
uncertain due to the limitations in the accuracy of diagnosis and effective monitoring during …

We present here a quantitative ultrasound tomographic method yielding a sub-mm
resolution, quantitative 3D representation of tissue characteristics in the presence of high …

Rapid progress in the development of multispectral optoacoustic tomography techniques
has enabled unprecedented insights into biological dynamics and molecular processes in …

Ultrasound computed tomography (USCT) is an emerging imaging modality for breast
imaging that can produce quantitative images that depict the acoustic properties of tissues …

Purpose Quantitative Transmission (QT) ultrasound has shown promise as a breast imaging
modality. This study characterizes the performance of the latest generation of QT ultrasound …

Artificial intelligence (AI) is gaining extensive attention for its excellent performance in image-
recognition tasks and increasingly applied in breast ultrasound. AI can conduct a …

This paper proves the theorem of uniqueness for the solution of a coefficient inverse
problem for the wave equation in (with two unknown coefficients: speed of sound and …

Significance When developing a new quantitative optoacoustic computed tomography (OAT)
system for diagnostic imaging of breast cancer, objective assessments of various system …

Combined ultrasound-microwave breast imaging requires a mechanism to guide one
imaging modality using the other. To this end, a convolutional neural network (CNN) is …