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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...
Autores principales: | Shinde, Sumeet, Tupe-Waghmare, Priyanka, Chougule, Tanay, Saini, Jitender, Ingalhalikar, Madhura |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
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Materias: | |
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 |
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