Biomedical Imaging and Impressioning using Low-Frequency Electromagnetic Energy
Bibliographic record
Abstract
The advent of X-Ray Computerized Tomography using Radon transforms for imaging of human bodies in the 1970s gave rise to a strong interest in imaging using microwaves. The primary thrust behind such interest lied in the non-harmful effects of low-power microwaves in comparison to potentially ionizing X-rays. The field of imaging using microwaves has traditionally evolved based on inverse scattering theories that were steeped in integral equations’ formulations of the electromagnetic radiation or acoustic problems. Inverse scattering problems were fundamentally based on reconstructing the dielectric permittivity or magnetic permittivity profile of a specific medium or object. In biomedical imaging, however, reconstructing the precise concise profile of the object (such as the human body), is not of importance but rather generating an image or an impression that indicates the presence of an anomaly such as a fracture in a bone, a blood clot, or a tumorous growth within the body. In these modalities, the primary goal is to create a contrast between the constituents of the human body. Therefore, mathematically complex ill-posed inverse scattering methods may not be most suitable or even practical for imaging or impressioning human bodies.
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.
How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".