Zobrazeno 1 - 10
of 28 854
pro vyhledávání: '"A. Mazen"'
Lymphoma diagnosis, particularly distinguishing between subtypes, is critical for effective treatment but remains challenging due to the subtle morphological differences in histopathological images. This study presents a novel hybrid deep learning fr
Externí odkaz:
http://arxiv.org/abs/2410.06974
Publikováno v:
IEEE ICCA 2024
This paper presents an Arabic Alphabet Sign Language recognition approach, using deep learning methods in conjunction with transfer learning and transformer-based models. We study the performance of the different variants on two publicly available da
Externí odkaz:
http://arxiv.org/abs/2410.00681
The rise of short-form videos on platforms like TikTok has brought new challenges in safeguarding young viewers from inappropriate content. Traditional moderation methods often fall short in handling the vast and rapidly changing landscape of user-ge
Externí odkaz:
http://arxiv.org/abs/2410.00403
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Takao, Masaki, Soufi, Mazen, Okada, Seiji, Sugano, Nobuhiko, Talbot, Hugues, Sato, Yoshinobu
Radiography is widely used in orthopedics for its affordability and low radiation exposure. 3D reconstruction from a single radiograph, so-called 2D-3D reconstruction, offers the possibility of various clinical applications, but achieving clinically
Externí odkaz:
http://arxiv.org/abs/2409.16702
Autor:
Mohamad, Mazen
Security Assurance Cases (SAC) are structured bodies of arguments and evidence used to reason about security properties of a certain artefact. SAC are gaining focus in the automotive domain as the need for security assurance is growing due to softwar
Externí odkaz:
http://arxiv.org/abs/2409.04474
Autor:
Soufi, Mazen, Otake, Yoshito, Iwasa, Makoto, Uemura, Keisuke, Hakotani, Tomoki, Hashimoto, Masahiro, Yamada, Yoshitake, Yamada, Minoru, Yokoyama, Yoichi, Jinzaki, Masahiro, Kusano, Suzushi, Takao, Masaki, Okada, Seiji, Sugano, Nobuhiko, Sato, Yoshinobu
Deep learning-based image segmentation has allowed for the fully automated, accurate, and rapid analysis of musculoskeletal (MSK) structures from medical images. However, current approaches were either applied only to 2D cross-sectional images, addre
Externí odkaz:
http://arxiv.org/abs/2409.02770
Retailers have significant potential to improve recommendations through strategic bundling and pricing. By taking into account different types of customers and their purchasing decisions, retailers can better accommodate customer preferences and incr
Externí odkaz:
http://arxiv.org/abs/2408.14913
Unmanned Aerial Vehicles (UAVs) have emerged as a critical component in next-generation wireless networks, particularly for disaster recovery scenarios, due to their flexibility, mobility, and rapid deployment capabilities. This paper focuses on opti
Externí odkaz:
http://arxiv.org/abs/2408.07589
Autor:
Gu, Yi, Otake, Yoshito, Uemura, Keisuke, Takao, Masaki, Soufi, Mazen, Okada, Seiji, Sugano, Nobuhiko, Talbot, Hugues, Sato, Yoshinobu
While most vision tasks are essentially visual in nature (for recognition), some important tasks, especially in the medical field, also require quantitative analysis (for quantification) using quantitative images. Unlike in visual analysis, pixel val
Externí odkaz:
http://arxiv.org/abs/2407.20495
Cybersecurity issues in medical devices threaten patient safety and can cause harm if exploited. Standards and regulations therefore require vendors of such devices to provide an assessment of the cybersecurity risks as well as a description of their
Externí odkaz:
http://arxiv.org/abs/2407.07704