Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jordan Yap"'
Publikováno v:
Skin Research and Technology. 26:503-512
Background Dermoscopic content-based image retrieval (CBIR) systems provide a set of visually similar dermoscopic (magnified and illuminated) skin images with a pathology-confirmed diagnosis for a given dermoscopic query image of a skin lesion. Altho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba171982f7995ba20bfc74305be52a84
https://doi.org/10.1111/srt.12822
https://doi.org/10.1111/srt.12822
Publikováno v:
CVPR Workshops
One commonly used clinical approach towards detecting melanomas recognises the existence of Ugly Duckling nevi, or skin lesions which look different from the other lesions on the same patient. An automatic method of detecting and analysing these lesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aad1939f82f1d160b74b9e216c1c9167
https://doi.org/10.1109/cvprw53098.2021.00202
https://doi.org/10.1109/cvprw53098.2021.00202
Publikováno v:
Experimental dermatology. 27(11)
While convolutional neural networks (CNNs) have successfully been applied for skin lesion classification, previous studies have generally considered only a single clinical/macroscopic image and output a binary decision. In this work, we have presente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa7e44bf23166b5b8d745d55419164ae
https://pubmed.ncbi.nlm.nih.gov/30187575
https://pubmed.ncbi.nlm.nih.gov/30187575
Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features
Background Automated classification of medical images through neural networks can reach high accuracy rates but lacks interpretability. Objectives To compare the diagnostic accuracy obtained by using content-based image retrieval (CBIR) to retrieve v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c2eeceefb90cf55400922358fddb34b
Publikováno v:
European Polymer Journal. 69:499-509
Thermoresponsive copolymers carrying di(2-pyridyl)methyl ligands are shown to respond sensitively and selectively to the presence of heavy metal cations, while their metal complexes respond in a likewise selective and sensitive manner to the presence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e00d08d1e97c3d9ca4e0f3cf38fcbb2c
https://doi.org/10.1016/j.eurpolymj.2015.01.042
https://doi.org/10.1016/j.eurpolymj.2015.01.042
Publikováno v:
BMVC
This paper proposes a new multi-task learning method with implicit intertask relevance estimation, and applies it to complex Internet video event detection, which is a challenging and important problem in practice, yet seldom has been addressed. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cbd5f1405d65bd991eaea2f3d9da2bf
https://doi.org/10.5244/c.29.37
https://doi.org/10.5244/c.29.37