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Publication search results
found 275 matches
- 2024
- Dinghao Yang, Bin Wang, Weijia Li, Conghui He:
Exploring the user guidance for more accurate building segmentation from high-resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 126: 103609 (2024) - Bing Wang, Peipei Geng, Tianxu Li, Ying Yang, Xuedong Tian, Guochun Zhang, Xin Zhang:
A deep model towards accurate boundary location and strong generalization for medical image segmentation. Biomed. Signal Process. Control. 88(Part A): 105623 (2024) - Essam H. Houssein, Nada Abdalkarim, Kashif Hussain, Ebtsam Mohamed:
Accurate multilevel thresholding image segmentation via oppositional Snake Optimization algorithm: Real cases with liver disease. Comput. Biol. Medicine 169: 107922 (2024) - Xupeng Kou, Zhan Tang, Houwei Feng, Lin Li:
FDTR: Weakening feature disparity transformer for accurate multicategory computed tomography image segmentation. Expert Syst. Appl. 236: 121297 (2024) - Hang Zhou, Yuxin Li, Wu Wen, Hao Yang, Yayu Ma, Min Chen:
Accurately 3D neuron localization using 2D conv-LSTM super-resolution segmentation network. IET Image Process. 18(2): 535-547 (2024) - Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar:
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model. Int. J. Imaging Syst. Technol. 34(1) (2024) - Noha Younis Ahmed:
Real-time and accurate deep learning-based multi-organ nucleus segmentation in histology images. J. Real Time Image Process. 21(2): 43 (2024) - B. Ramu, Sandeep Bansal:
Highly accurate tumour region segmentation from magnetic resonance images using customized convolutional neural networks. Multim. Tools Appl. 83(5): 14423-14445 (2024) - B. Ramu, Sandeep Bansal:
Correction to: Highly accurate tumour region segmentation from magnetic resonance images using customized convolutional neural networks. Multim. Tools Appl. 83(5): 14447 (2024) - Adel Al-Zebari:
Ensemble convolutional neural networks and transformer-based segmentation methods for achieving accurate sclera segmentation in eye images. Signal Image Video Process. 18(2): 1879-1891 (2024) - Ali Furkan Kamanli:
Hyperparameter-optimized Cross Patch Attention (CPAM) UNET for accurate ischemia and hemorrhage segmentation in CT images. Signal Image Video Process. 18(1): 723-734 (2024) - Qi Ming, Xiaowu Xiao:
Towards Accurate Medical Image Segmentation With Gradient-Optimized Dice Loss. IEEE Signal Process. Lett. 31: 191-195 (2024) - Komuravelli Prashanth, Jaladi Sri Harsha, Sivapuram Arun Kumar, Jaladi Srilekha:
Towards Accurate Disease Segmentation in Plant Images: A Comprehensive Dataset Creation and Network Evaluation. WACV 2024: 7071-7079 - Xianjie Liu, Keren Fu, Qijun Zhao:
Promoting Segment Anything Model towards Highly Accurate Dichotomous Image Segmentation. CoRR abs/2401.00248 (2024) - 2023
- Hosam S. El-Assiouti, Hadeer El-Saadawy, Maryam N. Al-Berry, Mohamed F. Tolba:
Lite-SRGAN and Lite-UNet: Toward Fast and Accurate Image Super-Resolution, Segmentation, and Localization for Plant Leaf Diseases. IEEE Access 11: 67498-67517 (2023) - Xunpeng Xia, Rongfu Zhang:
A Novel Lung Nodule Accurate Segmentation of PET-CT Images Based on Convolutional Neural Network and Graph Model. IEEE Access 11: 34015-34031 (2023) - Bassant E. Youssef, Ahmed Alksas, Ahmed Shalaby, Ali H. Mahmoud, Eric Van Bogaert, Norah Saleh Alghamdi, Alyssa Neubacher, Sohail Contractor, Mohammed Ghazal, Adel Said Elmaghraby, Ayman El-Baz:
Integrated Deep Learning and Stochastic Models for Accurate Segmentation of Lung Nodules From Computed Tomography Images: A Novel Framework. IEEE Access 11: 99807-99821 (2023) - Yanhong Liu, Ji Shen, Lei Yang, Gui-Bin Bian, Hongnian Yu:
ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images. Biomed. Signal Process. Control. 79(Part): 104087 (2023) - Yong Chen, Xuesong Lu, Qinlan Xie:
Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation. Comput. Biol. Medicine 164: 107228 (2023) - Ke Peng, Yulin Li, Qingling Xia, Tianqi Liu, Xinyi Shi, Diyou Chen, Li Li, Hui Zhao, Hanguang Xiao:
MSMCNet: Differential context drives accurate localization and edge smoothing of lesions for medical image segmentation. Comput. Biol. Medicine 167: 107624 (2023) - Chenan Xu, Zhongyue Chen, Xiao Zhang, Yuanyuan Peng, Zhiwei Tan, Yu Fan, Xuelong Li, Haoyu Chen, Jiayan Shen, Xinjian Chen:
Accurate C/D ratio estimation with elliptical fitting for OCT image based on joint segmentation and detection network. Comput. Biol. Medicine 160: 106903 (2023) - Nahida Nazir, Abid Sarwar, Baljit Singh Saini, Rafeeya Shams:
A Robust Deep Learning Approach for Accurate Segmentation of Cytoplasm and Nucleus in Noisy Pap Smear Images. Comput. 11(10): 195 (2023) - Rongtao Xu, Changwei Wang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang:
Dual-stream Representation Fusion Learning for accurate medical image segmentation. Eng. Appl. Artif. Intell. 123(Part B): 106402 (2023) - Ruiwei Xie, Dan Pan, An Zeng, Xiaowei Xu, Tianchen Wang, Najeeb Ullah, Yuzhu Ji:
Target area distillation and section attention segmentation network for accurate 3D medical image segmentation. Health Inf. Sci. Syst. 11(1): 9 (2023) - He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen:
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation. IEICE Trans. Inf. Syst. 106(5): 1027-1037 (2023) - Yongsheng Zhang, Yongxia Zhang, Linwei Fan, Nannan Wang:
Fast and accurate superpixel segmentation algorithm with a guidance image. Image Vis. Comput. 129: 104596 (2023) - Zehua Lv, Yibo Li, Siying Qian:
Real-time and accurate defect segmentation of aluminum strip surface via a lightweight network. J. Real Time Image Process. 20(2): 37 (2023) - Junrong Qiu, Bin Li, Riqiang Liao, Hongqiang Mo, Lianfang Tian:
A dual-task region-boundary aware neural network for accurate pulmonary nodule segmentation. J. Vis. Commun. Image Represent. 96: 103909 (2023) - Anu Singha, Mrinal Kanti Bhowmik:
AlexSegNet: an accurate nuclei segmentation deep learning model in microscopic images for diagnosis of cancer. Multim. Tools Appl. 82(13): 20431-20452 (2023) - Xiaoqian Zhang, Yufeng Chen, Lei Pu, Youdong He, Ying Zhou, Huaijiang Sun:
DASGC-Unet: An Attention Network for Accurate Segmentation of Liver CT Images. Neural Process. Lett. 55(9): 12289-12308 (2023)
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