Zobrazeno 1 - 10
of 1 059
pro vyhledávání: '"vgg19"'
Autor:
Hitesh Ninama, Jagdish Raikwal, Ananda Ravuri, Deepak Sukheja, Sourav Kumar Bhoi, N. Z. Jhanjhi, Asma Abbas Hassan Elnour, Abdelzahir Abdelmaboud
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract This manuscript proposes an automatic reading detection system for an analogue gauge using a combination of deep learning, machine learning, and image processing. The study suggests image-processing techniques in manual analogue gauge readin
Externí odkaz:
https://doaj.org/article/9813b95197c044f1b4a19ffb7ebc359c
Publikováno v:
Automatika, Vol 65, Iss 4, Pp 1379-1390 (2024)
Accurate lung cancer classification in magnetic resonance imaging (MRI) remains challenging due to the difficulty in detecting cancerous patterns. In response, this study introduces an attention-based VGG19 neural network for enhanced classification
Externí odkaz:
https://doaj.org/article/8ba6925ef825401a93446137fe01829f
Autor:
Soon Woo Kwon, Won Il Jang, Mi-Sook Kim, Ki Moon Seong, Yang Hee Lee, Hyo Jin Yoon, Susan Yang, Younghyun Lee, Hyung Jin Shim
Publikováno v:
Nuclear Engineering and Technology, Vol 56, Iss 8, Pp 3123-3128 (2024)
The dicentric chromosome assay is a gold standard method to estimate radiation exposure by calculating the ratio of dicentric chromosomes existing in cells. The objective of this study was to propose an automatic dicentric chromosome discrimination m
Externí odkaz:
https://doaj.org/article/4803a250e71742c391bf39bcf7287e0a
Publikováno v:
Telematics and Informatics Reports, Vol 16, Iss , Pp 100163- (2024)
The classification of White Blood Cells (WBCs) is crucial for diagnosing diseases, monitoring treatment effectiveness, and understanding how the immune system functions. In this paper, we propose a deep learning approach to classify WBCs using Super
Externí odkaz:
https://doaj.org/article/f064d16018874cdc84e22d30859e1238
Autor:
Tusneem Elhassan, Ahmed Hamza Osman, Mohd Shafry Mohd Rahim, Siti Zaiton Mohd Hashim, Abdulalem Ali, Esmaeil Elhassan, Yusra Elkamali, Mahmoud Aljurf
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37745- (2024)
1. Abstract: Acute myeloid leukemia (AML) is a highly aggressive cancer form that affects myeloid cells, leading to the excessive growth of immature white blood cells (WBCs) in both bone marrow and peripheral blood. Timely AML detection is crucial fo
Externí odkaz:
https://doaj.org/article/57a51be9afa9498481b3afe15b315454
Publikováno v:
Automation, Vol 5, Iss 2, Pp 128-150 (2024)
Renewable energy can lead to a sustainable future and solar energy is one the primary sources of renewable energy. Solar energy is harvested mainly by photovoltaic plants. Though there are a large number of solar panels, the economic efficiency of so
Externí odkaz:
https://doaj.org/article/fbc0ccab6a09424597df8673b1e34196
Publikováno v:
Zeitschrift für Medizinische Physik, Vol 34, Iss 2, Pp 278-290 (2024)
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal ce
Externí odkaz:
https://doaj.org/article/6e093f9bc8234eabb7d82073c602cb19
Autor:
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Lung cancer is the second most common cancer worldwide, with over two million new cases per year. Early identification would allow healthcare practitioners to handle it more effectively. The advancement of computer-aided detection
Externí odkaz:
https://doaj.org/article/ae0da7dc771a40bb828de4d3c806793a
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Timely and unbiased evaluation of Autism Spectrum Disorder (ASD) is essential for providing lasting benefits to affected individuals. However, conventional ASD assessment heavily relies on subjective criteria, lacking objectivity. Recent advancements
Externí odkaz:
https://doaj.org/article/556863406d3f49098016ed6c0a21b8fd
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 448-463 (2024)
Complex documents have text, figures, tables, and other elements. The classification of scanned copies of different categories of complex documents like memos, newspapers, letters, and more is essential for rapid digitization. However, this task is v
Externí odkaz:
https://doaj.org/article/3190703a95fa4ab795b891a8055d9550