Yüklüyor......
Accurate and Interpretable Classification of Microspectroscopy Pixels Using Artificial Neural Networks
This paper addresses the problem of classifying materials from microspectroscopy at a pixel level. The challenges lie in identifying discriminatory spectral features and obtaining accurate and interpretable models relating spectra and class labels. We approach the problem by designing a supervised c...
Kaydedildi:
| Yayımlandı: | Med Image Anal |
|---|---|
| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2017
|
| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5500246/ https://ncbi.nlm.nih.gov/pubmed/28131075 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2017.01.001 |
| Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|