Zobrazeno 1 - 10
of 204
pro vyhledávání: '"multi-level features"'
Publikováno v:
Biomedical Technology, Vol 8, Iss , Pp 50-64 (2024)
Diabetic Retinopathy (DR) is a leading cause of vision loss among diabetic patients, necessitating effective screening and grading for timely intervention. Regular screening significantly increases the workload of ophthalmologists, and accurate gradi
Externí odkaz:
https://doaj.org/article/50ddbca7786a4479a8af04459095d00c
Autor:
Abdulmajeed M. Alenezi, Daniyah A. Aloqalaa, Sushil Kumar Singh, Raqinah Alrabiah, Shabana Habib, Muhammad Islam, Yousef Ibrahim Daradkeh
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Retinal disease recognition using Optical Coherence Tomography (OCT) images plays a pivotal role in the early diagnosis and treatment of conditions. However, the previous attempts relied on extracting single-scale features often refined by stacked la
Externí odkaz:
https://doaj.org/article/da336e5ceeb64b9f9f99d87e0456bdf6
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a supe
Externí odkaz:
https://doaj.org/article/39b5ed9b18e64278b4202bbfec3fbd1f
Autor:
Lanfei Zhao, Qiye Wang
Publikováno v:
IEEE Access, Vol 12, Pp 124349-124364 (2024)
The presence of image shadows significantly impacts the practical applications of computer vision tasks in real-world environments. For example, image recognition, and image segmentation. Previous methodologies have disregarded the relationship betwe
Externí odkaz:
https://doaj.org/article/7e0d3a3187494cbc9aff87006b33b786
Publikováno v:
IEEE Access, Vol 12, Pp 82469-82481 (2024)
The lesion area of cancer presents complex physiological structures, posing significant challenges for accurate segmentation, which is required in radiotherapy or chemo-radiotherapy. The existing general-purpose segmentation models have made signific
Externí odkaz:
https://doaj.org/article/53f0ee7b4eb14395926ccb156931de2e
Publikováno v:
IEEE Access, Vol 12, Pp 47755-47767 (2024)
Recently, point clouds have emerged as a promising research direction for representing 3D visual data in various immersive applications, including augmented reality, self-driving cars and so on. The research on point cloud quality assessment (PCQA) h
Externí odkaz:
https://doaj.org/article/ee054e57493c48a6bfc1374e0dd7b1bf
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8357 (2024)
Detecting student behavior in smart classrooms is a critical area of research in educational technology that significantly enhances teaching quality and student engagement. This paper introduces an innovative approach using advanced computer vision a
Externí odkaz:
https://doaj.org/article/3ea68143f9d24d8792ac3af5fe998170
Autor:
Mengyao Lu, Cong Wang, Wenbiao Wu, Dinglian Zhu, Qiang Zhou, Zhiyong Wang, Tian'en Chen, Shuwen Jiang, Dong Chen
Publikováno v:
IEEE Access, Vol 11, Pp 68153-68170 (2023)
At present, tobacco leaf grading relies mainly on manual classification, which is highly intensive with respect to labor, materials, and cost; in addition, the performance of manual grading is poor. The realization of automatic grading is an urgent r
Externí odkaz:
https://doaj.org/article/f52edc549d4d4fa4b13451e3dd184d17
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 2110-2130 (2023)
In the traditional person re-identification model, the CNN network is usually used for feature extraction. When converting the feature map into a feature vector, a large number of convolution operations are used to reduce the size of the feature map.
Externí odkaz:
https://doaj.org/article/ff647fbfb194434a834256ea1f9f74fb
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