Cargando…
AUCReshaping: improved sensitivity at high-specificity
The evaluation of deep-learning (DL) systems typically relies on the Area under the Receiver-Operating-Curve (AU-ROC) as a performance metric. However, AU-ROC, in its holistic form, does not sufficiently consider performance within specific ranges of sensitivity and specificity, which are critical f...
Autores principales: | Bhat, Sheethal, Mansoor, Awais, Georgescu, Bogdan, Panambur, Adarsh B., Ghesu, Florin C., Islam, Saahil, Packhäuser, Kai, Rodríguez-Salas, Dalia, Grbic, Sasa, Maier, Andreas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689839/ https://www.ncbi.nlm.nih.gov/pubmed/38036602 http://dx.doi.org/10.1038/s41598-023-48482-x |
Ejemplares similares
-
Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19
por: Jung, Hae-Min, et al.
Publicado: (2022) -
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
por: Packhäuser, Kai, et al.
Publicado: (2022) -
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training
por: Rueckel, Johannes, et al.
Publicado: (2021) -
Palmar Erythema as the Sole Manifestation of COVID-19
por: Panambur, Balasaraswathy, et al.
Publicado: (2020) -
Laparoscopic repair of sciatic ureteral hernia: A case report
por: Grbić, Dragan, et al.
Publicado: (2021)