Zobrazeno 1 - 10
of 945
pro vyhledávání: '"data annotation"'
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-31 (2024)
Abstract Background The use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of computer-aided diagnosis systems, often based on annotated medical radiology images. However, the lack
Externí odkaz:
https://doaj.org/article/8469c6206b934eae8566b5df5cf4872a
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Research into the detection of human activities from wearable sensors is a highly active field, benefiting numerous applications, from ambulatory monitoring of healthcare patients via fitness coaching to streamlining manual work processes. We present
Externí odkaz:
https://doaj.org/article/94abbca1cfe545ab82d4540bd5a9c76d
Autor:
Simon J. Doran, Theo Barfoot, Linda Wedlake, Jessica M. Winfield, James Petts, Ben Glocker, Xingfeng Li, Martin Leach, Martin Kaiser, Tara D. Barwick, Aristeidis Chaidos, Laura Satchwell, Neil Soneji, Khalil Elgendy, Alexander Sheeka, Kathryn Wallitt, Dow-Mu Koh, Christina Messiou, Andrea Rockall
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining “real-world” and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners over a 10-year wi
Externí odkaz:
https://doaj.org/article/e3e19c56ad064f76a98af16a0519cd4d
Autor:
Rafiatul Zannah, Mubtasim Bashar, Rahil Bin Mushfiq, Amitabha Chakrabarty, Shahriar Hossain, Yong Ju Jung
Publikováno v:
IEEE Access, Vol 12, Pp 44598-44612 (2024)
The field of medical image analysis is in a constant state of evolution, particularly in the challenging tasks of segmenting organs, diseases, and abnormalities. Therefore, in the realm of dental disease diagnosis, image segmentation plays a crucial
Externí odkaz:
https://doaj.org/article/b50f6100190643328bcb50a687848e40
Autor:
F.M. Javed Mehedi Shamrat, Rashiduzzaman Shakil, Mohd Yamani Idna Idris, Bonna Akter, Xujuan Zhou
Publikováno v:
Data in Brief, Vol 56, Iss , Pp 110821- (2024)
Fruits are mature ovaries of flowering plants that are integral to human diets, providing essential nutrients such as vitamins, minerals, fiber and antioxidants that are crucial for health and disease prevention. Accurate classification and segmentat
Externí odkaz:
https://doaj.org/article/52acdabcaf944fecb46d019147e33e4f
Publikováno v:
Xiehe Yixue Zazhi, Vol 14, Iss 6, Pp 1185-1188 (2023)
With the upgrading of machine learning technology, artificial intelligence has become an emerging direction in the field of medical devices. Especially in recent years, it has developed rapidly. In 2022, the National Medical Products Administration r
Externí odkaz:
https://doaj.org/article/0c9381679cae479798bc2360854c245b
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2515 (2024)
Detecting oriented small objects is a critical task in remote sensing, but the development of high-performance deep learning-based detectors is hindered by the need for large-scale and well-annotated datasets. The high cost of creating these datasets
Externí odkaz:
https://doaj.org/article/8f21f6f680584f7fb9b51a108b909636
Publikováno v:
Sensors, Vol 24, Iss 14, p 4475 (2024)
In the context of LiDAR sensor-based autonomous vehicles, segmentation networks play a crucial role in accurately identifying and classifying objects. However, discrepancies between the types of LiDAR sensors used for training the network and those d
Externí odkaz:
https://doaj.org/article/1e7008d89b094f7e884fe32231a532ff
Autor:
Ekaterina Mikhaylets, Alexandra M. Razorenova, Vsevolod Chernyshev, Nikolay Syrov, Lev Yakovlev, Julia Boytsova, Elena Kokurina, Yulia Zhironkina, Svyatoslav Medvedev, Alexander Kaplan
Publikováno v:
Frontiers in Neuroinformatics, Vol 17 (2024)
The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). The SDA operates on unlabeled data and detects optimal change-points among intrinsic functional states in t
Externí odkaz:
https://doaj.org/article/dc40975366524cf7bd2bd395889e9680
Autor:
Raphael Diener, Alexander W. Renz, Florian Eckhard, Helmar Segbert, Nicole Eter, Arnim Malcherek, Julia Biermann
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1073 (2024)
In order to generate a machine learning algorithm (MLA) that can support ophthalmologists with the diagnosis of glaucoma, a carefully selected dataset that is based on clinically confirmed glaucoma patients as well as borderline cases (e.g., patients
Externí odkaz:
https://doaj.org/article/a45f19a6541543129adb3f05e14679c0