Zobrazeno 1 - 10
of 2 516
pro vyhledávání: '"ultrasound images"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Early screening methods for the thyroid gland include palpation and imaging. Although palpation is relatively simple, its effectiveness in detecting early clinical signs of the thyroid gland may be limited, especially in children, due to the
Externí odkaz:
https://doaj.org/article/f38d7ddad61842a98fed5a69f52bfb54
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Accurate and unbiased classification of breast lesions is pivotal for early diagnosis and treatment, and a deep learning approach can effectively represent and utilize the digital content of images for more precise medical image analysis. Br
Externí odkaz:
https://doaj.org/article/77193b2dd1a74d47a98a96e98ff50e2b
Autor:
Sana Alazwari, Jamal Alsamri, Mohammad Alamgeer, Saud S. Alotaibi, Marwa Obayya, Ahmed S. Salama
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The gallbladder (GB) is a small pouch and a deep tissue placed under the liver. GB Cancer (GBC) is a deadly illness that is complex to discover in an initial phase. Initial diagnosis can significantly enhance the existence rate. Non-ionizing
Externí odkaz:
https://doaj.org/article/d05adddb8aa94661ae5892b94ad1941e
Autor:
Adel Sulaiman, Vatsala Anand, Sheifali Gupta, Adel Rajab, Hani Alshahrani, Mana Saleh Al Reshan, Asadullah Shaikh, Mohammed Hamdi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Breast cancer, a prevalent and life-threatening disease, necessitates early detection for the effective intervention and the improved patient health outcomes. This paper focuses on the critical problem of identifying breast cancer using a mo
Externí odkaz:
https://doaj.org/article/c8c7022ae0034173b412531c1fafab42
Autor:
Xin Ye, Shucheng He, Ruilong Dan, Shangchao Yang, Jiahao Xv, Yang Lu, Bole Wu, Congying Zhou, Han Xu, Jiafeng Yu, Wenbin Xie, Yaqi Wang, Lijun Shen
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 10, Pp 2645-2659 (2024)
Abstract Introduction The aim of this work is to develop a deep learning (DL) system for rapidly and accurately screening for intraocular tumor (IOT), retinal detachment (RD), vitreous hemorrhage (VH), and posterior scleral staphyloma (PSS) using ocu
Externí odkaz:
https://doaj.org/article/daf49837939947a19824ad885dca3277
Publikováno v:
Automatika, Vol 65, Iss 3, Pp 726-737 (2024)
With so many thyroid knobs (nodules) discovered by accident, it is critical to recognize as many aberrant knobs (nodules) as possible from fine-needle aspiration (FNA) biopsies or other medical procedures while excluding those that are virtually cert
Externí odkaz:
https://doaj.org/article/6ba24c8955324095b0c473bcf4b4bb65
Autor:
Vimala Nagabotu, Anupama Namburu
Publikováno v:
ETRI Journal, Vol 46, Iss 3, Pp 526-537 (2024)
Monitoring fetal growth in utero is crucial to anomaly diagnosis. However, current computer-vision models struggle to accurately assess the key metrics (i.e., head circumference and occipitofrontal and biparietal diameters) from ultrasound images, la
Externí odkaz:
https://doaj.org/article/a22b9d2e15204754a317b6b6c1628929
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Breast cancer is the most common cancer among women, and ultrasound is a usual tool for early screening. Nowadays, deep learning technique is applied as an auxiliary tool to provide the predictive results for doctors to decide whe
Externí odkaz:
https://doaj.org/article/b39f56d6f6e94835abb42b32fe3c8b1b
Autor:
Mingyue Wang, Wen Liu, Xinxian Gu, Feng Cui, Jin Ding, Yindi Zhu, Jinyan Bian, Youguo Chen, Jinhua Zhou
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36426- (2024)
Objective: It is challenging to accurately distinguish atypical endometrial hyperplasia (AEH) and endometrial cancer (EC) under routine transvaginal ultrasonic (TVU) detection. Our research aims to use the few-shot learning (FSL) method to identify n
Externí odkaz:
https://doaj.org/article/b4dda12b8f4443369e9cf901f29b5890
Autor:
Weiwei Chen, Xuejun Ni, Cheng Qian, Lei Yang, Zheng Zhang, Mengdan Li, Fanlei Kong, Mengqin Huang, Maosheng He, Yifei Yin
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Objective The objective of this research was to create a deep learning network that utilizes multiscale images for the classification of follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA) through preoperative US. Methods
Externí odkaz:
https://doaj.org/article/4ce3574e02d34c7297ac1a469f1403ef