Zobrazeno 1 - 10
of 4 091
pro vyhledávání: '"ultrasound image"'
Autor:
Hoa Phu Nguyen, Trong Thanh Tran, Hien Thi Thanh Nguyen, Linh Ngoc Thuy Bui, Luong Cong Trung
Publikováno v:
Fisheries and Aquatic Sciences, Vol 27, Iss 9, Pp 565-571 (2024)
Ultrasound images can be utilized as a non-invasive method in the reproductive program. Striped catfish in various gonadal development were examined with a portable Mindray Model Z60Vet using the Convex probe at a frequency of 5 MHz. The results show
Externí odkaz:
https://doaj.org/article/0a1ff74095a94ab69277dd0f74039ab6
Autor:
Yue Qi, Pedro Vianna, Alexandre Cadrin-Chênevert, Katleen Blanchet, Emmanuel Montagnon, Eugene Belilovsky, Guy Wolf, Louis-Antoine Mullie, Guy Cloutier, Michaël Chassé, An Tang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract We aimed to implement four data partitioning strategies evaluated with four federated learning (FL) algorithms and investigate the impact of data distribution on FL model performance in detecting steatosis using B-mode US images. A private d
Externí odkaz:
https://doaj.org/article/22e256b2f8f04da4a8ee480139814455
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
IntroductionUltrasound imaging has become a crucial tool in medical diagnostics, offering real-time visualization of internal organs and tissues. However, challenges such as low contrast, high noise levels, and variability in image quality hinder acc
Externí odkaz:
https://doaj.org/article/182674e677174dcb8713c8253319b451
Autor:
Dhurgham Al-Karawi, Shakir Al-Zaidi, Khaled Ahmad Helael, Naser Obeidat, Abdulmajeed Mounzer Mouhsen, Tarek Ajam, Bashar A. Alshalabi, Mohamed Salman, Mohammed H. Ahmed
Publikováno v:
Tomography, Vol 10, Iss 5, Pp 705-726 (2024)
With the increasing dominance of artificial intelligence (AI) techniques, the important prospects for their application have extended to various medical fields, including domains such as in vitro diagnosis, intelligent rehabilitation, medical imaging
Externí odkaz:
https://doaj.org/article/f45302c688bf4f5886221458f136ae5e
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-14 (2024)
Abstract Background Congenital heart disease (CHD) is one of the most common birth defects in the world. It is the leading cause of infant mortality, necessitating an early diagnosis for timely intervention. Prenatal screening using ultrasound is the
Externí odkaz:
https://doaj.org/article/336b9153e1954cd0825b32b902b7151d
Autor:
Na Feng, Shanshan Zhao, Kai Wang, Peizhe Chen, Yunpeng Wang, Yuan Gao, Zhengping Wang, Yidan Lu, Chen Chen, Jincao Yao, Zhikai Lei, Dong Xu
Publikováno v:
European Journal of Radiology Open, Vol 13, Iss , Pp 100609- (2024)
Objective: To develop a ultrasound images based dual-channel deep learning model to achieve accurate early diagnosis of thyroid nodules less than 1 cm. Methods: A dual-channel deep learning model called thyroid nodule transformer network (TNT-Net) wa
Externí odkaz:
https://doaj.org/article/65fa2510e3e44dc1a8177ba5097753fb
Publikováno v:
IEEE Access, Vol 12, Pp 78701-78713 (2024)
Accurately segmenting thyroid nodules in ultrasound images is crucial for computer-aided diagnosis. Despite the success of Convolutional Neural Networks (CNNs) and Transformers in natural images processing, they struggle with precise boundaries and s
Externí odkaz:
https://doaj.org/article/adfd4bf828f24eebaa323d15c6cea0ef
Autor:
Seongho Kim, Byung Cheol Song
Publikováno v:
IEEE Access, Vol 12, Pp 72860-72870 (2024)
Ultrasound images acquired through various measuring devices may have different styles, and each style may be specialized for diagnosing specific diseases. Accordingly, ultrasound image-to-image translation (US I2I) has become an essential research f
Externí odkaz:
https://doaj.org/article/2961e611bdf048aab829254e2bac3820
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 226-237 (2024)
Recently, deep learning-based methods have emerged as the preferred approach for ultrasound data analysis. However, these methods often require large-scale annotated datasets for training deep models, which are not readily available in practical scen
Externí odkaz:
https://doaj.org/article/6f9220eb1a9748cab67b3e7e517e7665
Autor:
Yue Zhang, Haitao Gan, Furong Wang, Xinyao Cheng, Xiaoyan Wu, Jiaxuan Yan, Zhi Yang, Ran Zhou
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 3110-3128 (2024)
Carotid plaque classification from ultrasound images is crucial for predicting ischemic stroke risk. While deep learning has shown effectiveness, it heavily relies on substantial labeled datasets. Achieving high performance with limited labeled image
Externí odkaz:
https://doaj.org/article/3a3a9e0d881a48b1b8f13242d9ba9789