Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amadou Tidjani Sanda Mahama"'
Publikováno v:
Information Processing in Agriculture, Vol 9, Iss 3, Pp 355-364 (2022)
In precision agriculture, the accurate segmentation of crops and weeds in agronomic images has always been the center of attention. Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue f
Externí odkaz:
https://doaj.org/article/7e5eaa62576f486fb633109e6e4443c4
Publikováno v:
Journal of Imaging, Vol 9, Iss 7, p 148 (2023)
The automatic detection of dermoscopic features is a task that provides the specialists with an image with indications about the different patterns present in it. This information can help them fully understand the image and improve their decisions.
Externí odkaz:
https://doaj.org/article/5bd1eb8cd62744e398f797d9bec8d9e4
Publikováno v:
Computers, Vol 11, Iss 3, p 44 (2022)
Deep learning models yield remarkable results in skin lesions analysis. However, these models require considerable amounts of data, while accessibility to the images with annotated skin lesions is often limited, and the classes are often imbalanced.
Externí odkaz:
https://doaj.org/article/a5d12e7cdf414741988df2adcec9c3ed
Publikováno v:
Electronic Imaging. 35:340-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ae16ac1e0d422263ac19722820baeb
https://doi.org/10.2352/ei.2023.35.6.iss-340
https://doi.org/10.2352/ei.2023.35.6.iss-340