Cargando…
A New CNN-Based Single-Ingredient Classification Model and Its Application in Food Image Segmentation
It is important for food recognition to separate each ingredient within a food image at the pixel level. Most existing research has trained a segmentation network on datasets with pixel-level annotations to achieve food ingredient segmentation. However, preparing such datasets is exceedingly hard an...
Autores principales: | Zhu, Ziyi, Dai, Ying |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10607895/ https://www.ncbi.nlm.nih.gov/pubmed/37888312 http://dx.doi.org/10.3390/jimaging9100205 |
Ejemplares similares
-
Simultaneous Segmentation and Classification of Pressure Injury Image Data Using Mask-R-CNN
por: Swerdlow, Mark, et al.
Publicado: (2023) -
APESTNet with Mask R-CNN for Liver Tumor Segmentation and Classification
por: Balasubramanian, Prabhu Kavin, et al.
Publicado: (2023) -
A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images
por: Qamar, Saqib, et al.
Publicado: (2023) -
Classification of Brain Tumor Images Using CNN
por: Gupta, Manali, et al.
Publicado: (2023) -
Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model
por: Hossain, Shahed, et al.
Publicado: (2023)