Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs

PURPOSE: Existing class activation mapping (CAM) techniques extract the feature maps only from a single layer of the convolutional neural net (CNN), generally from the final layer and then interpolate to upsample to the original image resolution to locate the discriminative regions. Consequently the...

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Detalles Bibliográficos
Autores principales: Shinde, Sumeet, Tupe-Waghmare, Priyanka, Chougule, Tanay, Saini, Jitender, Ingalhalikar, Madhura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293926/
https://www.ncbi.nlm.nih.gov/pubmed/34322593
http://dx.doi.org/10.7717/peerj-cs.622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293926/
https://www.ncbi.nlm.nih.gov/pubmed/34322593
http://dx.doi.org/10.7717/peerj-cs.622

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