Microwave detection of breast cancer

By Elise C. Fear, Maria A. Stuchly. 2000

361 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/468d3bffc7ee6c947adbdbe27f929a13dc4a063e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Susan C. Hagness
2. Elise C. Fear
3. Xu Li
4. Barry D. Van Veen
5. Essex J. Bond
6. Maria A. Stuchly
7. Natalia K. Nikolova
8. Jeff M. Sill

In Electrical and Electronic Engineering

1. Susan C. Hagness
2. Xu Li
3. Barry D. Van Veen
4. Essex J. Bond
5. Elise C. Fear
6. Maria A. Stuchly
7. Natalia K. Nikolova

In Ocean Engineering

1. Susan C. Hagness
2. Elise C. Fear
3. Xu Li
4. Barry D. Van Veen
5. Essex J. Bond
6. Maria A. Stuchly
7. Jeff M. Sill
8. Natalia K. Nikolova

Citations in the corpus

• Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions (2002, methodology): “Preliminary investigations of CMI for breast imaging in two dimensions have shown that simple focusing algorithms are robust with respect to realistic dielectric-properties variations [23], [26], [28], dispersion [23], [26], and complex anatomical structure [26] of normal breast tissue.”
• Microwave imaging via space-time beamforming for early detection of breast cancer (2002, methodology): “Two types of active microwave imaging techniques have been previously proposed for breast cancer detection: tomography [9]–[13] and UWB radar techniques [6], [14]–[16].”