Zobrazeno 1 - 10
of 480
pro vyhledávání: '"cnn(convolutional neural network)"'
Publikováno v:
Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 11, Iss 5 (2024)
Mpox atau cacar monyet adalah penyakit yang disebabkan oleh virus monkeypox. Penelitian terdahulu membuktikan sudah tersedia beberapa pre-trained model yang terbukti mampu mendeteksi penyakit mpox dengan menggunakan dataset MSLD (Monkeypox Skin Lesio
Externí odkaz:
https://doaj.org/article/9beb3d203a4049059abfae20438a5a29
Autor:
Saman Shahid, Aamir Wali, Sadaf Iftikhar, Suneela Shaukat, Shahid Zikria, Jawad Rasheed, Tunc Asuroglu
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37743- (2024)
An early identification and subsequent management of cerebral small vessel disease (cSVD) grade 1 can delay progression into grades II and III. Machine learning algorithms have shown considerable promise in medical image interpretation automation. An
Externí odkaz:
https://doaj.org/article/a773ba09a4b3449294ce193dff797846
Publikováno v:
Frontiers in Physiology, Vol 15 (2024)
In recent years, semantic segmentation in deep learning has been widely applied in medical image segmentation, leading to the development of numerous models. Convolutional Neural Network (CNNs) have achieved milestone achievements in medical image an
Externí odkaz:
https://doaj.org/article/c899e354169346298a66b6e53eb5908a
Autor:
Maksym A. Jopek, Krzysztof Pastuszak, Sebastian Cygert, Myron G. Best, Thomas Wurdinger, Jacek Jassem, Anna J. Zaczek, Anna Supernat
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 12, Pp 306-313 (2024)
The field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging metho
Externí odkaz:
https://doaj.org/article/f8bdbbadc6a4484d810ec5d2b00b4317
Publikováno v:
Energies, Vol 17, Iss 22, p 5549 (2024)
The prevalence of extreme weather events gives rise to a significant degree of prediction bias in the forecasting of photovoltaic (PV) power. In order to enhance the precision of forecasting outcomes, this study examines the interrelationships betwee
Externí odkaz:
https://doaj.org/article/3409444505ec42b49febf139408076cf
Autor:
Muhammad Waqar Younis, Saritha, Bhavya Kallapu, Rama Moorthy Hejamadi, Jeny Jijo, Raghunandan Kemmannu Ramesh, Muhammad Aslam, Syeda Fizzah Jilani
Publikováno v:
Sensors, Vol 24, Iss 21, p 6983 (2024)
Tropical cyclones (TC) are dynamic atmospheric phenomena featuring extreme low-pressure systems and powerful winds, known for their devastating impacts on weather and the environment. The main purpose of this paper is to consider the subtle involveme
Externí odkaz:
https://doaj.org/article/c8137ab99b3c4d20a4ff4565d1dfe55d
Counting nematodes made easy: leveraging AI-powered automation for enhanced efficiency and precision
Autor:
Kanan K. Saikai, Trim Bresilla, Janne Kool, Norbert C. A. de Ruijter, Casper van Schaik, Misghina G. Teklu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Counting nematodes is a labor-intensive and time-consuming task, yet it is a pivotal step in various quantitative nematological studies; preparation of initial population densities and final population densities in pot, micro-plot and field trials fo
Externí odkaz:
https://doaj.org/article/85262d0d87b341ccbe7f5a3ca42fec8f
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/a040952ca7af4da78abc31615da3801a
Autor:
Aditi Deshpande, Jordan Elliott, Bin Jiang, Pouya Tahsili-Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
BackgroundRapid and accurate triage of acute ischemic stroke (AIS) is essential for early revascularization and improved patient outcomes. Response to acute reperfusion therapies varies significantly based on patient-specific cerebrovascular anatomy
Externí odkaz:
https://doaj.org/article/a560b7d736f9440f9fec23d4a8c72cac
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