Time Domain Analysis of UWB Breast Cancer Detection
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Recently, there has been considerable effort to investigate ultra-wideband (UWB) technology for the purpose of breast cancer detection. Previous publications based on frequency sweep have shown that UWB imaging systems have the potential to detect small sized (less than 2 cm) tumors. This work provides measurement results of a UWB breast cancer detection system consisting of a pulse generator, wideband oscilloscope, and two compact ultra-wideband antennas. The antenna experimental results show that the return loss is below -10 dB from 3.4 GHz to 10 GHz. The backscattered signal from tumor stimulant is measured and used to perform detection experiments. An autoregressive (AR) model is used to extract the energy of signal from the noise background and to perform the detection. The comparable detection rate with mammography quantifies the feasibility of UWB breast cancer detection. The advantage of this work is that it experimentally shows the potential of a time domain processing UWB system to detect early breast cancer tumor and paves the way for future work
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it