Histogram of Oriented Gradients meet deep learning: A novel multi-task deep network for 2D surgical image semantic segmentation

We present our novel deep multi-task learning method for medical image segmentation. Existing multi-task methods demand ground truth annotations for both the primary and auxiliary tasks. Contrary to it, we propose to generate the pseudo-labels of an auxiliary task in an unsupervised manner. To gener...

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Detalles Bibliográficos
Autores principales: Bhattarai, Binod, Subedi, Ronast, Gaire, Rebati Raman, Vazquez, Eduard, Stoyanov, Danail
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626764/
https://www.ncbi.nlm.nih.gov/pubmed/36702038
http://dx.doi.org/10.1016/j.media.2023.102747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626764/
https://www.ncbi.nlm.nih.gov/pubmed/36702038
http://dx.doi.org/10.1016/j.media.2023.102747

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