Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models
By Jeff M. Sill, Elise C. Fear. IEEE transactions on microwave theory and techniques, 2005
298 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/54fde5ed8ecd5ec997842da1d24d772b27e9811a
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
- Natalia K. Nikolova
- Ram M. Narayanan
- Ilangko Balasingham
- Huiyuan Zhou
- Rohit Chandra
- D. Mew
- B. Docktor
- C. Romano
In Electrical and Electronic Engineering
Citations in the corpus
- Microwave Breast Imaging With a Monostatic Radar-Based System: A Study of Application to Patients (2013, methodology): “Measurements are converted to frequency by weighting the measured data with the spectrum of a differentiated Gaussian signal, then transforming the resulting data to the time domain via an inverse chirp- transform [27].”
- On the Opportunities and Challenges in Microwave Medical Sensing and Imaging (2015, methodology): “Qualitative (see Section III-B) Strong scatterer detection using radar techniques Confocal imaging [3] Tissue sensing adaptive radar [63] Space-time beamforming [62] Avoids inverse problem, computationally very less demanding Detection challenging in low contrast UWB Image of backscattered energy”
- Radar-Based Breast Cancer Detection Using a Hemispherical Antenna Array—Experimental Results (2009, methodology): “To date there have been only a few experimental breast-imaging radar systems reported in the open literature [9]–[12].”
- Microwave Imaging for Breast Cancer (2011, methodology): “It may then be suspended in a tank of coupling liquid [56], [57], or be slightly compressed between two plates [58], [59] as shown in Figure 4(b), or be placed in a constraining cup of suitable size and shape [60]–[65].”