2-stage Delay-Multiply-And-Sum beamforming for breast cancer detection using Microwave Imaging

Karam, Seyed Abbas Shah; Asl, Babak Mohammadzadeh

doi:10.1109/iraniancee.2017.7985209

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…However, the FDTD algorithm required significant computational resources and long simulation times. Karamfard et al [ 175 ] proposed time domain synthetic aperture radar (TSAR) imaging for detecting breast cancer, which could detect lesions with a diameter greater than 4 mm. However, the hardware system for TSAR was expensive and caused significant reflections from the skin, presenting a challenge in obtaining clear imaging results.…”

Section: Microwave Breast Imaging Techniquesmentioning

confidence: 99%

Microwave Imaging and Sensing Techniques for Breast Cancer Detection

Wang

2023

Micromachines

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Medical imaging techniques, including X-ray mammography, ultrasound, and magnetic resonance imaging, play a crucial role in the timely identification and monitoring of breast cancer. However, these conventional imaging modalities have their limitations, and there is a need for a more accurate and sensitive alternative. Microwave imaging has emerged as a promising technique for breast cancer detection due to its non-ionizing, non-invasive, and cost-effective nature. Recent advancements in microwave imaging and sensing techniques have opened up new possibilities for the early diagnosis and treatment of breast cancer. By combining microwave sensing with machine learning techniques, microwave imaging approaches can rapidly and affordably identify and classify breast tumors. This manuscript provides a comprehensive overview of the latest developments in microwave imaging and sensing techniques for the early detection of breast cancer. It discusses the principles and applications of microwave imaging and highlights its advantages over conventional imaging modalities. The manuscript also delves into integrating machine learning algorithms to enhance the accuracy and efficiency of microwave imaging in breast cancer detection.

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Section: Microwave Breast Imaging Techniquesmentioning

confidence: 99%