Zobrazeno 1 - 10
of 451
pro vyhledávání: '"Images classification"'
Autor:
Laanaoui My Driss, Aatila Mustapha, Lachgar Mohamed, Hrimech Hamid, Okacha Najia, Assouma Roukéya, Abou Elkhir Mohamed
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101745- (2024)
This paper presents version 1.1.0 of the DLDiagnosis software, which serves as an automated decision support tool for disease detection and classification through imaging analysis using deep learning. The latest update of DLDiagnosis includes signifi
Externí odkaz:
https://doaj.org/article/0b1beac31ead45b9b7203563edc7055c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16815-16830 (2024)
The rapid increase in spatial resolution of remote sensing scene images (RSIs) has led to a concomitant increase in the complexity of the spatial contextual information contained therein. The coexistence of numerous smaller features makes it challeng
Externí odkaz:
https://doaj.org/article/38d347f955554cf0a50d461183589510
Publikováno v:
IEEE Access, Vol 12, Pp 78409-78422 (2024)
This article presents a systematic review of Multiple Instance Learning (MIL) applied to image classification, specifically highlighting its applications in medical imaging. Motivated by the need for a comprehensive and up-to-date analysis due to the
Externí odkaz:
https://doaj.org/article/3162c829c5ef4988bc9387ba72b3843a
Publikováno v:
Sensors, Vol 24, Iss 13, p 4127 (2024)
Rock image classification represents a challenging fine-grained image classification task characterized by subtle differences among closely related rock categories. Current contrastive learning methods prevalently utilized in fine-grained image class
Externí odkaz:
https://doaj.org/article/468e3754c6d040a0b6c2bee8ddad793a
Publikováno v:
Electronic Research Archive, Vol 31, Iss 9, Pp 5340-5361 (2023)
Most countries worldwide continue to encounter a pathologist shortage, significantly impeding the timely diagnosis and effective treatment of cancer patients. Deep learning techniques have performed remarkably well in pathology image analysis; howeve
Externí odkaz:
https://doaj.org/article/f1b2f2fb6b1a4e5ea35414dd8ed586aa
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 870 (2024)
Hyperspectral remote sensing images (HSIs) have both spectral and spatial characteristics. The adept exploitation of these attributes is central to enhancing the classification accuracy of HSIs. In order to effectively utilize spatial and spectral fe
Externí odkaz:
https://doaj.org/article/170f3b5a3e46475392609c7e605edb49
Autor:
Aatila Mustapha, Kadem Abdellah, Lachgar Mohamed, Lamhaddab Khalid, Hrimech Hamid, Kartit Ali
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101488- (2023)
The detection and classification of several diseases is often carried out manually by specialists in several disciplines. Consequently, the diagnosis and the follow-up of the evolution of the diseases become more delicate and slower. The objective of
Externí odkaz:
https://doaj.org/article/5f4fbed7752a4a5d91975bdb7f3b0cdb
Akademický článek
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Autor:
Azim Akhtarshenas, Ramin Toosi
Publikováno v:
SN Applied Sciences, Vol 4, Iss 8, Pp 1-10 (2022)
Article highlights Fish classification could be considered as an open-set problem, since the number of unknown underwater species is extremely high. Employing autoencoders, we can make the model to memorize the familiar species and throw away unfamil
Externí odkaz:
https://doaj.org/article/6b5ff5c32fea489691583278c96eda0e