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2020 – today
- 2024
[j39]Lingling Fang, Yumeng Jiang
:
Dual-path parallel hierarchical diagnostic model of glioma based on pathomorphological feature. Biomed. Signal Process. Control. 87(Part B): 105559 (2024)- [j38]Lingling Fang, Yumeng Jiang:
Dual path sub-type diagnostic model based on the anatomic morphological feature. Biomed. Signal Process. Control. 90: 105865 (2024) - [j37]Lingling Fang, Yumeng Jiang, Kaining Zhu, Yang Liu:
AOFNet: A novel cerebral hemorrhage segmentation network based on anatomical-omics feature. Biomed. Signal Process. Control. 94: 106317 (2024) - [j36]Lingling Fang, Yumeng Jiang:
Dual path parallel hierarchical diagnosis model for intracranial tumors based on multi-feature entropy weight. Comput. Biol. Medicine 173: 108353 (2024) - [j35]Lingling Fang, Xiyue Liang, Chang Xu, Qian Wang:
Image segmentation using a novel dual active contour model. Multim. Tools Appl. 83(2): 3707-3724 (2024) - [j34]Lingling Fang, Yumeng Jiang:
Cerebral hemorrhage extraction with modified shuffled frog leaping algorithm based on the blood clot clustering. Multim. Tools Appl. 83(2): 5653-5681 (2024) - [j33]Lingling Fang, Huan Qiao:
Retinal multi-disease classification using the varices feature-based dual-channel network. Multim. Tools Appl. 83(14): 42629-42644 (2024) - [j32]Lingling Fang, Xin Wang:
Ultrasound COVID-19 Classification Based on the Novel Module-Based Dual-Path Network. IEEE Trans. Artif. Intell. 5(3): 1040-1051 (2024) - [c1]Bo Liu, Haozhen Xiang, Lingling Fang:
LP-DWLA-ViT: Light-Patch and Dynamic window local attention Vision Transformer network for Alzheimer's disease classification. IJCNN 2024: 1-7 - 2023
- [j31]Lingling Fang, Xin Wang:
Multi-input Unet model based on the integrated block and the aggregation connection for MRI brain tumor segmentation. Biomed. Signal Process. Control. 79(Part): 104027 (2023) - [j30]Lingling Fang, Xin Wang:
Dual-stream parallel model of cartilage injury diagnosis based on local centroid optimization. Biomed. Signal Process. Control. 80(Part): 104229 (2023) - [j29]Lingling Fang, Huan Qiao:
Glaucoma multi-classification using the novel syndrome mechanism-based dual-channel network. Biomed. Signal Process. Control. 86(Part A): 105143 (2023) - [j28]Lingling Fang, Yutong Yao, Xiyue Liang:
New binary archimedes optimization algorithm and its application. Expert Syst. Appl. 230: 120639 (2023) - [j27]Lingling Fang, Huan Qiao:
A novel DAG network based on multi-feature fusion of fundus images for multi-classification of diabetic retinopathy. Multim. Tools Appl. 82(30): 47669-47693 (2023) - 2022
- [j26]Lingling Fang, Yumeng Jiang, Xinping Ren:
Cerebral hemorrhage segmentation with energy functional based on anatomy theory. Biomed. Signal Process. Control. 76: 103709 (2022) - [j25]Lingling Fang, Huan Qiao:
Diabetic retinopathy classification using a novel DAG network based on multi-feature of fundus images. Biomed. Signal Process. Control. 77: 103810 (2022) - [j24]Lingling Fang, Xiyue Liang:
ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis. Comput. Biol. Medicine 146: 105615 (2022) - [j23]Lingling Fang, Lirong Zhang, Yibo Yao, Le Chen:
Ultrasound image segmentation using an active contour model and learning-structured inference. Multim. Tools Appl. 81(10): 13389-13407 (2022) - [j22]Lingling Fang, Yibo Yao, Lirong Zhang, Xin Wang, Qile Zhang:
Energy functional driven by multiple features for brain lesion segmentation. Multim. Tools Appl. 81(25): 36195-36215 (2022) - [j21]Lingling Fang, Lirong Zhang:
Segmentation of the optic disc and optic cup using a machine learning-based biregional contour evolution model for the cup-to-disc ratio. Multim. Tools Appl. 81(25): 36217-36238 (2022) - [j20]Lingling Fang, Xin Wang:
Brain tumor segmentation based on the dual-path network of multi-modal MRI images. Pattern Recognit. 124: 108434 (2022) - [j19]Lingling Fang, Xin Wang, Minqing Zhao:
Integrated vector-valued active contour model for image segmentation. Signal Image Video Process. 16(1): 193-201 (2022) - [j18]Lingling Fang, Xin Wang, Ziyi Lian, Yibo Yao, Yanchao Zhang:
Supervoxel-based brain tumor segmentation with multimodal MRI images. Signal Image Video Process. 16(5): 1215-1223 (2022) - 2021
- [j17]Lingling Fang, Xin Wang:
COVID-19 deep classification network based on convolution and deconvolution local enhancement. Comput. Biol. Medicine 135: 104588 (2021) - [j16]Lingling Fang, Lirong Zhang, Yibo Yao:
Integrating a learned probabilistic model with energy functional for ultrasound image segmentation. Medical Biol. Eng. Comput. 59(9): 1917-1931 (2021) - [j15]Lingling Fang, Lirong Zhang, Yibo Yao:
Retina blood vessels segmentation based on the combination of the supervised and unsupervised methods. Multidimens. Syst. Signal Process. 32(4): 1123-1139 (2021) - [j14]Lingling Fang, Xin Wang, Mengyi Wang:
Superpixel/voxel medical image segmentation algorithm based on the regional interlinked value. Pattern Anal. Appl. 24(4): 1685-1698 (2021) - 2020
- [j13]Lingling Fang, Hanyu Zhang, Jiaxin Zhou, XiangHai Wang:
Image classification with an RGB-channel nonsubsampled contourlet transform and a convolutional neural network. Neurocomputing 396: 266-277 (2020) - [j12]Lingling Fang, Xin Wang, Lujie Wang:
Multi-modal medical image segmentation based on vector-valued active contour models. Inf. Sci. 513: 504-518 (2020) - [j11]Lingling Fang, Xiaohang Pan, Yibo Yao, Lirong Zhang, Dongmei Guo:
A hybrid active contour model for ultrasound image segmentation. Soft Comput. 24(24): 18611-18625 (2020)
2010 – 2019
- 2019
- [j10]Lingling Fang, Tianshuang Qiu, Hongyang Zhao, Fang Lv:
A hybrid active contour model based on global and local information for medical image segmentation. Multidimens. Syst. Signal Process. 30(2): 689-703 (2019) - [j9]Lingling Fang:
An image segmentation technique using nonsubsampled contourlet transform and active contours. Soft Comput. 23(6): 1823-1832 (2019) - [e1]Li Zou, Lingling Fang, Bo Fu, Panpan Niu:
14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, Dalian, China, November 14-16, 2019. IEEE 2019, ISBN 978-1-7281-2348-6 [contents] - 2018
- [j8]Lingling Fang, Tianshuang Qiu, Yin Liu, Chaofeng Chen:
Active contour model driven by global and local intensity information for ultrasound image segmentation. Comput. Math. Appl. 75(12): 4286-4299 (2018) - 2017
- [j7]Lingling Fang, Xiang-Hai Wang:
Lane Boundary Detection Algorithm Based on Vector Fuzzy Connectedness. Cogn. Comput. 9(5): 634-645 (2017) - 2016
- [j6]Xiang-Hai Wang, Ruoxi Song, Chong Zhang, Chang Li, Lingling Fang:
Image segmentation model based on adaptive adjustment of global and local information. Int. J. Imaging Syst. Technol. 26(3): 179-187 (2016) - [j5]Lingling Fang, Xiang-Hai Wang, Yu Wan:
Adaptable active contour model with applications to infrared ship target segmentation. J. Electronic Imaging 25(4): 041010 (2016) - [j4]Lingling Fang, Xiang-Hai Wang, Yang Sun, Kainan Xu:
Remote sensing image segmentation using active contours based on intercorrelation of nonsubsampled contourlet coefficients. J. Electronic Imaging 25(6): 061405 (2016) - [j3]Xiang-Hai Wang, Yu Wan, Rui Li, Jinling Wang, Lingling Fang:
A multi-object image segmentation C-V model based on region division and gradient guide. J. Vis. Commun. Image Represent. 39: 100-106 (2016) - 2015
- [j2]Xiang-Hai Wang, Yingnan Liu, Hongwei Zhang, Lingling Fang:
A total variation model based on edge adaptive guiding function for remote sensing image de-noising. Int. J. Appl. Earth Obs. Geoinformation 34: 89-95 (2015) - 2012
- [j1]Xiang-Hai Wang, Mingying Chen, Chuanming Song, Mengchun Xu, Lingling Fang:
Contourlet HMT model with directional feature. Sci. China Inf. Sci. 55(7): 1563-1578 (2012)
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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