Zobrazeno 1 - 10
of 6 065
pro vyhledávání: '"A. Dumitrascu"'
Autor:
Wang, Hao, Zhu, Wenhui, Dong, Xuanzhao, Chen, Yanxi, Li, Xin, Qiu, Peijie, Chen, Xiwen, Vasa, Vamsi Krishna, Xiong, Yujian, Dumitrascu, Oana M., Razi, Abolfazl, Wang, Yalin
In this work, we propose Many-MobileNet, an efficient model fusion strategy for retinal disease classification using lightweight CNN architecture. Our method addresses key challenges such as overfitting and limited dataset variability by training mul
Externí odkaz:
http://arxiv.org/abs/2412.02825
Retinal fundus photography enhancement is important for diagnosing and monitoring retinal diseases. However, early approaches to retinal image enhancement, such as those based on Generative Adversarial Networks (GANs), often struggle to preserve the
Externí odkaz:
http://arxiv.org/abs/2411.01403
With the rapid development of deep learning, CNN-based U-shaped networks have succeeded in medical image segmentation and are widely applied for various tasks. However, their limitations in capturing global features hinder their performance in comple
Externí odkaz:
http://arxiv.org/abs/2410.15036
Retinal fundus photography offers a non-invasive way to diagnose and monitor a variety of retinal diseases, but is prone to inherent quality glitches arising from systemic imperfections or operator/patient-related factors. However, high-quality retin
Externí odkaz:
http://arxiv.org/abs/2409.07862
Autor:
Wang, Hao, Zhu, Wenhui, Qin, Jiayou, Li, Xin, Dumitrascu, Oana, Chen, Xiwen, Qiu, Peijie, Razi, Abolfazl
Detecting retinal image analysis, particularly the geometrical features of branching points, plays an essential role in diagnosing eye diseases. However, existing methods used for this purpose often are coarse-level and lack fine-grained analysis for
Externí odkaz:
http://arxiv.org/abs/2407.12271
Autor:
Oana M. Dumitrascu, MD, MSc, Xin Li, MS, Wenhui Zhu, MS, Bryan K. Woodruff, MD, Simona Nikolova, PhD, Jacob Sobczak, Amal Youssef, MD, Siddhant Saxena, Janine Andreev, Richard J. Caselli, MD, John J. Chen, MD, PhD, Yalin Wang, PhD
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 4, Pp 548-558 (2024)
Objective: To report the development and performance of 2 distinct deep learning models trained exclusively on retinal color fundus photographs to classify Alzheimer disease (AD). Patients and Methods: Two independent datasets (UK Biobank and our ter
Externí odkaz:
https://doaj.org/article/7328428056c84b1e896cd08f0d73c6e3
Multiple instance learning (MIL) was a weakly supervised learning approach that sought to assign binary class labels to collections of instances known as bags. However, due to their weak supervision nature, the MIL methods were susceptible to overfit
Externí odkaz:
http://arxiv.org/abs/2308.10112
Autor:
Zhu, Wenhui, Qiu, Peijie, Chen, Xiwen, Li, Xin, Lepore, Natasha, Dumitrascu, Oana M., Wang, Yalin
Over the past few decades, convolutional neural networks (CNNs) have been at the forefront of the detection and tracking of various retinal diseases (RD). Despite their success, the emergence of vision transformers (ViT) in the 2020s has shifted the
Externí odkaz:
http://arxiv.org/abs/2306.01289
Autor:
Simona Raluca Iacoban, Madalina Piron-Dumitrascu, Camil Laurentiu Bohiltea, Ioan Dumitru Suciu, Silviu Cristian Voinea, Nicolae Suciu
Publikováno v:
Journal of Mind and Medical Sciences, Vol 11, Iss 2, Pp 402-411 (2024)
Objectives. This study aimed to assess the impact of socio-economic factors on prenatal care accessibility and outcomes and to evaluate the effectiveness of specialized integrative prenatal care in mitigating these disparities. Materials and Methods.
Externí odkaz:
https://doaj.org/article/be3ecb8e9db540b591747670dc8747cc
Autor:
Rusu, Alexandru-Nicolae1 (AUTHOR) alexandru.rusu@unitbv.ro, Dumitrascu, Dorin-Ion2 (AUTHOR) d.dumitrascu@unitbv.ro, Dumitrascu, Adela-Eliza1 (AUTHOR) dumitrascu_a@unitbv.ro
Publikováno v:
Materials (1996-1944). Aug2024, Vol. 17 Issue 16, p4131. 15p.