AIMC Topic: Transillumination

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From inconsistent annotations to ground truth: Aggregation strategies for annotations of proximal carious lesions in dental imagery.

Journal of dentistry
OBJECTIVES: Annotating carious lesions on images is challenging. For artificial intelligence (AI) applications, the aggregation of heterogeneous multi-examiner annotations into one single annotation (e.g. via majority voting, MV) is usually needed. W...

Detection of breast cancer using machine learning on time-series diffuse optical transillumination data.

Journal of biomedical optics
SIGNIFICANCE: Optical mammography as a promising tool for cancer diagnosis has largely fallen behind expectations. Modern machine learning (ML) methods offer ways to improve cancer detection in diffuse optical transmission data.

Towards Trustworthy AI in Dentistry.

Journal of dental research
Medical and dental artificial intelligence (AI) require the trust of both users and recipients of the AI to enhance implementation, acceptability, reach, and maintenance. Standardization is one strategy to generate such trust, with quality standards ...

Caries Detection with Near-Infrared Transillumination Using Deep Learning.

Journal of dental research
Dental caries is the most prevalent chronic condition worldwide. Early detection can significantly improve treatment outcomes and reduce the need for invasive procedures. Recently, near-infrared transillumination (TI) imaging has been shown to be eff...