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New CBCT-IQ dataset released for medical image quality assessment

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced CBCT-IQ, a new, publicly available dataset designed to advance image quality assessment in cone-beam computed tomography (CBCT). This dataset contains 1,764 annotated image slices, graded by three clinical experts for overall quality and specific regions of interest. It aims to overcome the limitations of subjective and time-consuming manual evaluations by providing a standardized benchmark for developing and validating quantitative image quality assessment methods in CBCT imaging. AI

IMPACT Provides a benchmark for developing and validating quantitative image quality assessment methods in medical imaging.

RANK_REASON The item describes the release of a new dataset and benchmark for a specific research area (medical image quality assessment), which falls under research. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New CBCT-IQ dataset released for medical image quality assessment

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The item describes the release of a new dataset and benchmark for a specific research area (medical image quality assessment), which falls under research. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Sepideh Hatamikia, Anna Breger, Clemens Karner, Birgit Pohn, Poorya MohammadiNasab, Martin Buschmann, Stephanie Nougaret, Laura Haddad, Ali Abbasian Ardakani, Afshin Mohammadi, Paul Apfaltrer, Wolfgang Birkfellner, Alfred Pohl, Ander Biguri, Gernot Kronr… ·

    CBCT-IQ: A Publicly Available Annotated Cone-Beam CT Dataset for Image Quality Assessment and Benchmarking

    arXiv:2607.29253v1 Announce Type: cross Abstract: Medical image quality plays a critical role in diagnostic accuracy, especially in X-ray-based imaging modalities such as cone-beam computed tomography (CBCT), where image quality must be balanced against radiation dose. While expe…

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