Cargando…
Spectral–Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification
Cancer identification and classification from histopathological images of the breast depends greatly on experts, and computer-aided diagnosis can play an important role in disagreement of experts. This automatic process has increased the accuracy of the classification at a reduced cost. The advancem...
Autores principales: | Mewada, Hiren K, Patel, Amit V, Hassaballah, Mahmoud, Alkinani, Monagi H., Mahant, Keyur |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506633/ https://www.ncbi.nlm.nih.gov/pubmed/32842640 http://dx.doi.org/10.3390/s20174747 |
Ejemplares similares
-
A fast region-based active contour for non-rigid object tracking and its shape retrieval
por: Mewada, Hiren, et al.
Publicado: (2021) -
Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction
por: Alkinani, Monagi H., et al.
Publicado: (2017) -
HSDDD: A Hybrid Scheme for the Detection of Distracted Driving through Fusion of Deep Learning and Handcrafted Features
por: Alkinani, Monagi H., et al.
Publicado: (2022) -
Fungicidal Impact of Salvadora Persica L. (Miswak)
Extract on Growth of Foodborne Pathogens, Aspergillus
Species
por: Saddiq, Amna Ali, et al.
Publicado: (2019) -
O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification
por: Jangra, Manisha, et al.
Publicado: (2021)