Results 61 to 70 of about 6,662,539 (239)

DCSLK: Combined large kernel shared convolutional model with dynamic channel Sampling

NeuroImage
This study centers around the competition between Convolutional Neural Networks (CNNs) with large convolutional kernels and Vision Transformers in the domain of computer vision, delving deeply into the issues pertaining to parameters and computational ...
Zongren Li, Shuping Luo, Hongwei Li, Yanbin Li   +3 more
doaj   +1 more source

Review of Deep Learning Applications in Spinal Image Segmentation [PDF]

Jisuanji gongcheng
Deep learning algorithms have the advantages of strong learning, strong adaptive, and unique nonlinear mapping abilities in spinal image segmentation.
Baihao JIANG, Jing LIU, Dawei QIU, Liang JIANG
doaj   +1 more source

Medical Image Segmentation Based on Transformer and HarDNet Structures

IEEE Access, 2023
Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement due to the problems of many noisy medical images and the high similarity ...
Tongping Shen, Huanqing Xu
doaj   +1 more source

WAILS: Watershed Algorithm With Image-Level Supervision for Weakly Supervised Semantic Segmentation

IEEE Access, 2019
Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation.
Hongming Zhou, Kang Song, Xianglei Zhang, Wenyong Gui, Qiusuo Qian   +4 more
doaj   +1 more source

IMAGE SEGMENTATION AND OBJECT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORK TECHNOLOGY

Надежность и качество сложных систем, 2021
Background. An analysis of the processes of image segmentation is being carried out. An original method of image segmentation using a convolutional neural network is proposed. Materials and methods.
A.I. Godunov, S.T. Balanyan, P.S. Egorov
doaj   +1 more source

Techniques and Challenges of Image Segmentation: A Review

Electronics, 2023
Image segmentation, which has become a research hotspot in the field of image processing and computer vision, refers to the process of dividing an image into meaningful and non-overlapping regions, and it is an essential step in natural scene ...
Ying Yu, Chunping Wang, Qiankun Fu, Ren-Jay Kou, Fuyu Huang, Boxiong Yang, Tingting Yang, Mingliang Gao   +7 more
semanticscholar   +1 more source

MCMC algorithm based on Markov random field in image segmentation.

PLoS ONE
In the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
doaj   +1 more source

Applying morphology to improve Canny operator's image segmentation method

The Journal of Engineering, 2019
When a single image segmentation method is used for image segmentation of wind turbine blade images under a complex background, the results obtained are not accurate and complete.
Hongyun Xu, Xiaoli Xu, Yunbo Zuo
doaj   +1 more source

Automatic Segmentation Algorithm of Ultrasound Heart Image Based on Convolutional Neural Network and Image Saliency

IEEE Access, 2020
The emergence of 4D heart images makes the data volume of the images multiply. It is more urgent to require an effective and fast segmentation algorithm.
Hui Liu, Wen Chu, Hua Wang
doaj   +1 more source

An Improved U-Net Image Segmentation Method and Its Application for Metallic Grain Size Statistics [PDF]

, 2022
Peng Shi, Mengmeng Duan, Lifang Yang, Wei Feng, Lianhong Ding, Liwu Jiang   +5 more
openalex   +1 more source