ReaderAdaptNet: Modeling Reader Variability in Breast Imaging with Reader-Specific Embeddings

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Publication Details

Journal
Physics in Medicine and Biology
Published
2026-04-20
DOI
https://doi.org/10.1088/1361-6560/ae6227
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00

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article

ReaderAdaptNet: Modeling Reader Variability in Breast Imaging with Reader-Specific Embeddings

Clément Jailin, Laurence Vancamberg, Pablo Milioni de Carvalho, Isabelle Bloch A et al.
Physics in Medicine and Biology
AI in cancer detection
article

ReaderAdaptNet: Modeling Reader Variability in Breast Imaging with Reader-Specific Embeddings

Clément Jailin, Laurence Vancamberg, Pablo Milioni de Carvalho, Isabelle Bloch A, Elodie Ripaud
article en

Abstract

No abstract available for this paper.
Physics in Medicine and Biology
General Electric (Spain) (ES), Sorbonne Université (FR), CEA Paris-Saclay (FR), Laboratoire Jacques-Louis Lions (FR)
Association Nationale de la Recherche et de la Technologie
Reduced inequalities
Openalex Percentile: Top 12%
AI in cancer detection
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