Foundations of Biomedical Ultrasound
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- Insufficient payload (model declined to judge)
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: Not applicableConsensus signal: Not applicable
- Genre
- Candidate signal: OtherConsensus signal: Other
- Teacher disagreement score
- 0.007
- Threshold uncertainty score
- 0.999
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
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) | 0.002 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.251 · how far apart the two teachers sit on this one work
- Validation status
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
Abstract
Abstract Biomedical ultrasonics is inherently interdisciplinary, involving mechanics, electrical engineering, physics, biology, and medicine. As such, it can be an extraordinarily difficult subject to cover in one book. Drawn from years of class notes, student interaction and personal experience, Foundations of Biomedical Ultrasound does just that. It covers the fundamental engineering behind ultrasound equipment, properties of acoustic wave motion, the behaviour of waves in various media, non-linear waves and the creation of images. The most comprehensive book on the subject, Foundations of Biomedical Ultrasound is an indispensible reference for any medical professional working with ultrasound imaging, and a comprehensive introduction to the subject for students. The book consists of ten chapters that bridge the spectrum from the fundamental properties of wave propagation through to clinical systems. The first four chapters describe linear and nonlinear propagation, and methods for calculating the field produced by transducers of various designs. A number of problems designed to test the reader's understanding, well-suited for formal class assignments, accompany these chapters. The topics of ultrasound scattering, and transducer design are addressed in chapters 5 and 6. The final four chapters addess methods of imaging and flow measurement. Some 350 drawings, graphs, sketches and colour images have been used. These, together with many tables, have been used to illustrate the various topics covered; a substantial portion of which are appearing for the first time in print.
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.
The record
- Venue
- Topic
- Ultrasound Imaging and Elastography
- Field
- Medicine
- Canadian institutions
- University of Toronto
- Funders
- not available
- Keywords
- Subject (documents)Computer scienceClass (philosophy)Field (mathematics)AcousticsArtificial intelligencePhysicsMathematicsLibrary science
- Has abstract in OpenAlex
- yes