Zobrazeno 1 - 10
of 1 062
pro vyhledávání: '"weak supervision"'
Quantifying morphologies of developing neuronal cells using deep learning with imperfect annotations
Publikováno v:
IBRO Neuroscience Reports, Vol 16, Iss , Pp 118-126 (2024)
The functionality of human intelligence relies on the interaction and health of neurons, hence, quantifying neuronal morphologies can be crucial for investigating the functionality of the human brain. This paper proposes a deep learning (DL) based me
Externí odkaz:
https://doaj.org/article/65317f08c7a24bb193b878b7f45ccef9
Publikováno v:
IET Image Processing, Vol 18, Iss 5, Pp 1119-1131 (2024)
Abstract This paper focuses on the intelligent detection of prohibited items in X‐ray images during the security checking process. An intelligent semantic segmentation model of prohibited items in X‐ray images is proposed based on the attention
Externí odkaz:
https://doaj.org/article/bf54fcb2b12e4627a542d253d646decb
Autor:
Xiangda Lei, Haiyan Guan, Lingfei Ma, Jiacheng Liu, Yogntao Yu, Lanying Wang, Zhen Dong, Huan Ni, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103970- (2024)
Mobile laser scanning (MLS) point clouds have increasingly been a significant data source for acquiring accurate three-dimensional (3D) semantic information from complex scenes. However, most current point cloud semantic segmentation methods heavily
Externí odkaz:
https://doaj.org/article/5ec932dc32b54f4398301ff599969174
Autor:
Jia-Wen Lin, Ling-Jie Lin, Feng Lu, Tai-Chen Lai, Jing Zou, Lin-Ling Guo, Zhi-Ming Lin, Li Li
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 3, Pp 401-407 (2024)
AIM: To investigate a pioneering framework for the segmentation of meibomian glands (MGs), using limited annotations to reduce the workload on ophthalmologists and enhance the efficiency of clinical diagnosis. METHODS: Totally 203 infrared meibomian
Externí odkaz:
https://doaj.org/article/17d415db78d8455d8a306aae33a7eb72
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 239-249 (2024)
Abstract Recently, weak supervision has received growing attention in the field of salient object detection due to the convenience of labelling. However, there is a large performance gap between weakly supervised and fully supervised salient object d
Externí odkaz:
https://doaj.org/article/6252099d801c46c2b8d874fd00b47072
Publikováno v:
IEEE Access, Vol 12, Pp 77104-77113 (2024)
Cervical cancer is a malignancy that significantly impacts women’s health. Liquid-based thin-layer cytology examination is presently the predominant method for cervical cancer cell detection. Traditional identification of pathological images of cer
Externí odkaz:
https://doaj.org/article/3da70aa400124909baa6686e6d115c61
Publikováno v:
IEEE Access, Vol 12, Pp 27709-27722 (2024)
The available dialectal Arabic linguistic resources are very limited in their coverage of Arabic dialects, particularly the Kuwaiti dialect. This shortage of linguistic resources creates struggles for researchers in the Natural Language Processing (N
Externí odkaz:
https://doaj.org/article/f1381057a6a84870853d8fe93592df9d
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
IntroductionState-of-the-art multi-modal brain tumor segmentation methods often rely on large quantities of manually annotated data to produce acceptable results. In settings where such labeled data may be scarce, there may be value in exploiting che
Externí odkaz:
https://doaj.org/article/039675d2777349f2ae4644033eb1410f
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Purpose Development and assessment the deep learning weakly supervised algorithm for the classification and detection pneumonia via X-ray. Methods This retrospective study analyzed two publicly available dataset that contain X-ray images of
Externí odkaz:
https://doaj.org/article/fec7222b66f14d98a826b6443f5c8043
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3319 (2024)
With the proliferation of large-scale 3D point cloud datasets, the high cost of per-point annotation has spurred the development of weakly supervised semantic segmentation methods. Current popular research mainly focuses on single-scale classificatio
Externí odkaz:
https://doaj.org/article/cd848eb1115849bebb053210db02622b