Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction

Advances in deep learning (DL) have resulted in impressive accuracy in some medical image classification tasks, but often deep models lack interpretability. The ability of these models to explain their decisions is important for fostering clinical trust and facilitating clinical translation. Further...

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Detaylı Bibliyografya
Yayımlandı:Med Image Comput Comput Assist Interv
Asıl Yazarlar: Puyol-Antón, Esther, Chen, Chen, Clough, James R., Ruijsink, Bram, Sidhu, Baldeep S., Gould, Justin, Porter, Bradley, Elliott, Marc, Mehta, Vishal, Rueckert, Daniel, Rinaldi, Christopher A., King, Andrew P.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: 2020
Konular:
Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7610934/
https://ncbi.nlm.nih.gov/pubmed/34109325
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59710-8_28
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