A lightweight multi scale fusion network for IGBT ultrasonic tomography image segmentation by Meng Song, Zhaoba Wang, Youxing Chen, Ya Li, Yong Jin, Bei Jia

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Medical Image Segmentation for Mobile Electronic Patient Charts Using Numerical Modeling of IoT by Seung-Hoon Chae, Daesung Moon, Deok Gyu Lee, Sung Bum Pan

“…This enables the specialist to consult the patient’s condition despite the fact that they are in different places. Medical image segmentation is needed for analysis, storage, and protection of medical image in telemedicine. …”
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Adaptive Evolutionary Optimization of Deep Learning Architectures for Focused Liver Ultrasound Image Segmentation by Ali Zifan, Katelyn Zhao, Madilyn Lee, Zihan Peng, Laura J. Roney, Sarayu Pai, Jake T. Weeks, Michael S. Middleton, Ahmed El Kaffas, Jeffrey B. Schwimmer, Claude B. Sirlin

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MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation by Liang Xu, Mingxiao Chen, Yi Cheng, Pengwu Song, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

“…In this work, we propose a 2D medical image segmentation model called multi-scale cross perceptron attention network (MCPA). …”
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Color Image Segmentation Based on Different Color Space Models Using Automatic GrabCut by Dina Khattab, Hala Mousher Ebied, Ashraf Saad Hussein, Mohamed Fahmy Tolba

“…This paper presents a comparative study using different color spaces to evaluate the performance of color image segmentation using the automatic GrabCut technique. …”
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A Multiobjective Piglet Image Segmentation Method Based on an Improved Noninteractive GrabCut Algorithm by Feilong Kang, Chunguang Wang, Jia Li, Zheying Zong

“…In view of the noninteractive and real-time requirements of such a video monitoring system, this paper proposes a method of image segmentation based on an improved noninteractive GrabCut algorithm. …”
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Infrared image segmentation algorithm based on distribution information intuitionistic fuzzy c-means clustering by Xiaofei WANG, Fankui HU, Shuo HUANG

“…Due to the sensitivity of the traditional intuitionistic fuzzy c-means (IFCM) clustering algorithm to the clustering center in image segmentation,which resulted in the low clustering precision,poor retention of details,and large time complexity,an intuitionistic fuzzy c-means clustering algorithm was proposed based on spatial distribution information suitable for infrared image segmentation of power equipment.The non-target objects with high intensity and the non-uniformity of image intensity in the infrared image had strong interference to the image segmentation,which could be effectively suppressed by the proposed algorithm.Firstly,the Gaussian model was introduced into the global spatial distribution information of power equipment to improve the IFCM algorithm.Secondly,the membership function was optimized by local spatial operator to solve the problem of edge blur and image intensity inhomogeneity.The experiments conducted on Terravic motion IR database and the data set containing 300 infrared images of power equipment show that,the relative region error rate is about 10% and is less affected by the change of fuzzy factor m.The effectiveness and applicability of the proposed algorithm are superior to other comparison algorithms.…”
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Exploiting Interslice Correlation for MRI Prostate Image Segmentation, from Recursive Neural Networks Aspect by Qikui Zhu, Bo Du, Baris Turkbey, Peter Choyke, Pingkun Yan

“…To tackle this problem, in this paper, we propose a deep neural network with bidirectional convolutional recurrent layers for MRI prostate image segmentation. In addition to utilizing the intraslice contexts and features, the proposed model also treats prostate slices as a data sequence and utilizes the interslice contexts to assist segmentation. …”
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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

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Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network by Soniya Pal, Raj Pal Singh, Anuj Kumar

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SACU-Net: Shape-Aware U-Net for Biomedical Image Segmentation With Attention Mechanism and Context Extraction by Yinuo Cao, Yong Cheng

Subjects: “…Medical image segmentation…”
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DiffRSS: A Diffusion-Guided Multi-Scale Features Remote Sensing Image Segmentation Method by Honghao Liu, Ruixia Yang, Yue Xu, Zhengchao Chen, Yuyang Zheng

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LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation by Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao

Subjects: “…Image segmentation…”
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Remote sensing image segmentation based on spatially constrained Gaussian mixture model with unknown class number by Quan-hua ZHAO, Xue SHI, Yu WANG, Yu LI

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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…Image segmentation is a key technology in the field of computer image processing. …”
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Target Recognition and Trajectory Planning of Apple Harvesting Robot considering Color Multimedia Image Segmentation Algorithm by Ya Wang

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PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation by Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham Mahmoud, Mohammed M. Abdelsamea

Subjects: “…Medical image segmentation…”
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MEAT-SAM: More Efficient Automated Tongue Segmentation Model by Fudong Zhong, Chuanbo Qin, Yue Feng, Junying Zeng, Xudong Jia, Fuguang Zhong, Jun Luo, Min Yang

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TransDeep: Transformer-Integrated DeepLabV3+ for Image Semantic Segmentation by Tengfei Chai, Zhiguo Xiao, Xiangfeng Shen, Qian Liu, NianFeng Li, Tong Guan, Jia Tian

Subjects: “…Image segmentation…”
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Determination of the FIFO-stack size for the algorithm of the image region growing by V. Yu. Tsviatkou

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