A deep‐learning‐based histopathology classifier for focal cortical dysplasia (<scp>FCD</scp>) unravels a complex scenario of comorbid <scp>FCD</scp> subtypes

An AI-based diagnostic classifier will become a helpful tool in our future histopathology laboratory, in particular when large anatomical resections from epilepsy surgery require extensive resources. We also provide an open access web application allowing the histopathologist to virtually review digital tiles obtained from epilepsy surgery to corroborate their final diagnosis.

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Publication Details

Journal
Epilepsia
Published
2024-10-23
DOI
https://doi.org/10.1111/epi.18161
Citations
6
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
6.66

Funders

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article

A deep‐learning‐based histopathology classifier for focal cortical dysplasia (FCD) unravels a complex scenario of comorbid FCD subtypes

Ingmar Blümcke, Jörg Vorndran
6 citations
Epilepsia
Fetal and Pediatric Neurological Disorders
6.66
article

A deep‐learning‐based histopathology classifier for focal cortical dysplasia (FCD) unravels a complex scenario of comorbid FCD subtypes

Ingmar Blümcke, Jörg Vorndran
article en
6 citations

Abstract

An AI-based diagnostic classifier will become a helpful tool in our future histopathology laboratory, in particular when large anatomical resections from epilepsy surgery require extensive resources. We also provide an open access web application allowing the histopathologist to virtually review digital tiles obtained from epilepsy surgery to corroborate their final diagnosis.

EpilepsiaVol. 65(12)
Universitätsklinikum Erlangen (DE)
Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 4%
Fetal and Pediatric Neurological Disorders
6.66
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