Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset

Shi, Jun, Zhou, Shichong, Liu, Xiao, Zhang, Qi, Lu, Minhua, Wang, Tianfu·2016·Neurocomputing

Cited by (166)

Items 101–166 of 166

  1. Modality-correlation embedding model for breast tumor diagnosis with mammography and ultrasound images
    Xiaoming Xi, Weicui Li, Bingbing Li, Delin Li, Cuihuan Tian, Guang Zhang · 2022 · Computers in Biology and Medicine
  2. BPSegSys: A Brachial Plexus Nerve Trunk Segmentation System Using Deep Learning
    Yu Wang, Binbin Zhu, Lingsi Kong, Jianlin Wang, Bin Gao, Jianhua Wang, Dingcheng Tian, Yudong Yao · 2024 · Ultrasound in Medicine & Biology
  3. Probability-Weighted Voting Ensemble Learning for Classification Model
    Artitayaporn Rojarath, Wararat Songpan · 2020 · Journal of Advances in Information Technology
  4. Artificial Intelligence in Diagnostic Medical Image Processing for Advanced Healthcare Applications
    Amlan Jyoti Kalita, Abhijit Boruah, Tapan Das, Nirmal Mazumder, Shyam Krishnakumar Jaiswal, Guan‐Yu Zhuo, Ankur Gogoi, Nayan M. Kakoty, Fu‐Jen Kao · 2024 · Biological and medical physics, biomedical engineering
  5. A Deep Siamese-Based Plantar Fasciitis Classification Method Using Shear Wave Elastography
    Junling Gao, Lei Xu, Ayache Bouakaz, Mingxi Wan · 2019 · IEEE Access
  6. BUS-net: a bimodal ultrasound network for breast cancer diagnosis
    Xun Gong, Xu Feng Zhao, Lin Fan, Tianrui Li, Ying Guo, Jun Luo · 2022 · International Journal of Machine Learning and Cybernetics
  7. Multiple Empirical Kernel Mapping Based Broad Learning System for Classification of Parkinson’s Disease With Transcranial Sonography
    Lu Shen, Jun Shi, Bangming Gong, Yingchun Zhang, Yun Dong, Qi Zhang, Hedi An · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  8. Assessment of liver fibrosis in chronic hepatitis B via multimodal data
    Baiying Lei, Yingxia Liu, Changfeng Dong, Xin Chen, Xinyu Zhang, Xianfen Diao, Guilin Yang, Jing Liu, Simin Yao, Hanying Li et al. · 2017 · Neurocomputing
  9. Deep stacking l1-norm center configuration convex hull and its application in fault diagnosis of rolling bearing
    Zhengyang Cheng, Rongji Wang · 2019 · Mechanism and Machine Theory
  10. A Convolutional Neural Network Based Ensemble Method for Cancer Prediction Using DNA Methylation Data
    Chao Ying Xia, Yawen Xiao, Jun Fa Wu, Xiaodong Zhao, Hua Li · 2019 · International Conference on Machine Learning and Computing (ICMLC)
  11. A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques
    Junkai Liao, Hak‐Keung Lam, Guangyu Jia, Shraddha Gulati, Julius E. Bernth, Dmytro Poliyivets, Yujia Xu, Hongbin Liu, Bu Hayee · 2021 · Neurocomputing
  12. Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features
    Youcef Gherghout, Yamina Tlili, Labiba Souici‐Meslati · 2019 · Evolving Systems
  13. Ultrasound image segmentation using an active contour model and learning-structured inference
    Lingling Fang, Lirong Zhang, Yibo Yao, Le Chen · 2021 · Multimedia Tools and Applications
  14. Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework
    Yiyi Qian, Jun Shi, Zheng Xiao, Qi Zhang, Le‐Hang Guo, Dan Wang, Hui‐Xiong Xu · 2017 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  15. Deep-Learning-Based Computer-Aided Systems for Breast Cancer Imaging: A Critical Review
    Yuliana Jiménez-Gaona, María José Rodríguez-Álvarez, Vasudevan Lakshminarayanan · 2020 · Applied Sciences
  16. A Narrative Review of Image Processing Techniques Related to Prostate Ultrasound
    Haiqiao Wang, Hong Wu, Zhuoyuan Wang, Peiyan Yue, Dong Ni, Pheng‐Ann Heng, Yi Wang · 2024 · Ultrasound in Medicine & Biology
  17. Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning Machine
    Xiaoyan Fei, Weijun Zhou, Lu Shen, Cai Chang, Shichong Zhou, Jun Shi · 2019 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  18. Predicting Prodromal Dementia Using Linguistic Patterns and Deficits
    Ahmed H. Alkenani, Yuefeng Li, Yue Xu, Qing Zhang · 2020 · IEEE Access
  19. Combined CNN and Pixel Feature Image for Fatty Liver Ultrasound Image Classification
    Haijiang Zhu, Yutong Liu, Xiaoyu Gao, Lei Zhang · 2022 · Computational and Mathematical Methods in Medicine
  20. Multi-feature Fusion for Ultrasound Breast Image Classification of Benign and Malignant
    Mengwan Wei, Xiuming Wu, Jianqing Zhu, Peizhong Liu, Yanmin Luo, Lixin Zheng, Yongzhao Du · 2019 · International Conference on Image, Vision and Computing (ICIVC)
  21. A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone Training
    Ufuk Soylu, Michael L. Oelze · 2023 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
  22. Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity loss
    Yongchang Gao, Jian Lian, Bin Gong · 2018 · EURASIP Journal on Image and Video Processing
  23. Multi-sensor Image Fusion Algorithm Based on Multiresolution Analysis
    Zhiguo Wang, Wei Wang, Baolin Su · 2018 · International Journal of Online and Biomedical Engineering (iJOE)
  24. Feature Extraction of Kidney Tissue Image Based on Ultrasound Image Segmentation
    Jie Lian, Mingyu Zhang, Na Jiang, Wei Bi, Xiaoqiu Dong · 2021 · Journal of Healthcare Engineering · Retracted
  25. Reading grid for feature selection relevance criteria in regression
    Alexandra Degeest, Benoît Frénay‬, Michel Verleysen · 2021 · Pattern Recognition Letters
  26. Improved Classification with Semi-supervised Deep Belief Network
    Gongming Wang, Junfei Qiao, Xiaoli Li, Lei Wang, Xiaolong Qian · 2017 · IFAC-PapersOnLine
  27. Quantum-Inspired Stacked Auto-encoder-Based Deep Neural Network Algorithm (Q-DNN)
    Om Prakash Patel, Aruna Tiwari, Vinay Bagade · 2017 · Arabian Journal for Science and Engineering
  28. Multiple Kernel Learning Based Classification of Parkinson’s Disease With Multi-Modal Transcranial Sonography
    Jun Shi, Minjun Yan, Yun Dong, Zheng Xiao, Qi Zhang, Hedi An · 2018 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  29. Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal Echocardiography
    Sibo Qiao, Shanchen Pang, Gang Luo, Silin Pan, Xun Wang, Min Wang, Zhai, Xue, Taotao Chen · 2020 · arXiv (Cornell University)
  30. Automatic placental maturity grading via hybrid learning
    Lei, Baiying, Tan, Ee-Leng, Chen, Siping, Li, Wanjun, Ni, Dong, Yao, Yuan, Wang, Tianfu · 2017 · Neurocomputing
  31. NGMMs: Neutrosophic Gaussian Mixture Models for Breast Ultrasound Image Classification
    Kuan Huang, Meng Xu, Xiaojun Qi · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  32. Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-network
    Qinghua Huang, Zhaoji Miao, Jiawei Li, Longzhong Liu, Xuelong Li · 2020 · Neurocomputing
  33. Analysis of facial ultrasonography images based on deep learning
    Kang‐Woo Lee, Hyung‐Jin Lee, Hyewon Hu, Heejin Kim · 2022 · Scientific Reports
  34. Combination Ultrasound and Mammography for Breast Cancer Classification using Deep Learning
    Orawan Chunhapran, Tongjai Yampaka · 2021 · International Joint Conference on Computer Science and Software Engineering
  35. Deep learning without borders: recent advances in ultrasound image classification for liver diseases diagnosis
    Midya Yousefzamani, Farshid Babapour Mofrad · 2025 · Expert Review of Medical Devices
  36. Deep Learning Techniques on Texture Analysis of Chest and Breast Images
    Jie-Zhi Cheng, Chung‐Ming Chen, Dinggang G. Shen · 2017 · Elsevier eBooks
  37. Evaluation of Convolutional Neural Network Architecture for Feasibility Analysis on Fetal Abdomen and Brain Images
    Pogiri Deepika, P. Pabitha · 2021 · Journal of Medical Imaging and Health Informatics
  38. Application of Artificial Intelligence in Medical Imaging Diagnosis
    Baoming Zhang, Weili Yue, Qiang Liu, Shi‐Min Hu · 2021 · International Conference on Bioinformatics and Intelligent Computing (BIC)
  39. Investigating the Effectiveness of Wavelet Approximations in Resizing Images for Ultrasound Image Classification
    Umar Manzoor, Samia Nefti‐Meziani, Ferdinando Milella · 2016 · Journal of Medical Systems
  40. Harnessing Multiple Level Features to Improve Segmentation Performance of Deep Neural Network: A Case Study in Magnetic Resonance Imaging of Nasopharyngeal Cancer
    Rongzhi Mao, Liangxu Xie, Xiaohua Lu, Jialu Pei, Xiaojun Xu, Shan Chang · 2024 · IEEE Access
  41. Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification Performance
    Shaked Perek, Mika Amit, Efrat Hexter · 2021 · Lecture notes in computer science
  42. Machine Learning Methods for 1D Ultrasound Breast Cancer Screening
    Neil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina · 2017 · International Conference on Machine Learning and Applications
  43. Data Science is all Set to Revolutionize the Ultrasound Diagnosis in Medical Health Care
    Mohammed Jawwad Ali Junaid, Rajeev Kumar · 2020 · International Conference on Computation, Automation and Knowledge Management (ICCAKM)
  44. Ultrasonic Image Diagnosis of Liver and Spleen Injury Based on a Double‐Channel Convolutional Neural Network
    Maorui He, Rui Zhang, Shuni Liu, Yansong Tan, Yang Zeng · 2021 · Wireless Communications and Mobile Computing
  45. The trend of artificial intelligence method in computer aided diagnosis
    Yu Zhao, Lixu Gu, DeXu WANG · 2020 · Scientia Sinica Vitae
  46. Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks
    Elham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Wei Lin Ng, Kartini Binti Rahman, Nur Aishah Mohd Taib, Sarinder Kaur Dhillon · 2021 · arXiv (Cornell University)
  47. LRSCnet: Local Reference Semantic Code learning for breast tumor classification in ultrasound images
    Guang Zhang, Yanwei Ren, Xiaoming Xi, Delin Li, Jie Guo, Xiaofeng Li, Cuihuan Tian, Zunyi Xu · 2021 · BioMedical Engineering OnLine
  48. A scoping and bibliometric review of deep learning techniques in breast cancer imaging: mapping the landscape and future directions
    Sorayya Rezayi, Mehrbakhsh Nilashi, Erfan Esmaeeli, Nahid Ramezanghorbani, Goli Arji, Hossein Ahmadi, Leila Shahmoradi, Maryam Zahmatkeshan · 2025 · Neural Computing and Applications
  49. Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning
    Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei · 2019 · Lecture notes in computer science
  50. Wearable Ultrasound Interface for Prosthetic Hand Manipulation
    Zongtian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng, Honghai Liu · 2022 · Lecture notes in computer science
  51. Artificial Intelligence in Quantitative Ultrasound Imaging: A Review
    Boran Zhou, Xiaofeng Yang, Tian Liu · 2020 · arXiv (Cornell University)
  52. Deep Learning for Predicting Breast Cancer: A Systematic Review of Progress and Future Directions
    Kanika Kansal, Sanjiv Sharma · 2023 · Research Square
  53. Deep learning motion estimation in ultrasound imaging : Application to myocardial deformation quantification
    Ewan Evain · 2022
  54. CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training Budgets
    Riddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker · 2019 · arXiv (Cornell University)
  55. Ultrasound and artificial intelligence
    Brian A. Telfer, Viksit Kumar, Aaron D. Aguirre, Anthony E. Samir, Laura J. Brattain · 2021 · Elsevier eBooks
  56. Tensor-based framework for training flexible neural networks
    Yassine Zniyed, Konstantin Usevich, Sébastian Miron, David Brie · 2021 · arXiv (Cornell University)
  57. Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning
    Martin Tabakov, Konrad Karanowski, Adam R. Chłopowiec, Adrian B. Chłopowiec, Mikolaj Kasperek · 2022 · Lecture notes in computer science
  58. Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning Models
    Martin Tabakov, Krzysztof Galus, Artur Zawisza, Adam R. Chłopowiec, Adrian B. Chłopowiec, Konrad Karanowski · 2023 · Vietnam Journal of Computer Science
  59. Deep discourse analysis for early prediction of multi-type dementia
    Ahmed H. Alkenani · 2023 · Queensland University of Technology
  60. Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A Review
    D. Priscilla Sharlet Asha, R. J. Hemalatha · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  61. Eye biometry prediction from ultrasound images using convolutional neural networks
    Danesh Khazaei · 2023 · Open Journal of Clinical and Medical Images
  62. Using BI-RADs Breast Lesion Features-Based Classification for Breast Detection in Ultrasound Images
    Khalid Shaikh, Haytham Elmessiry · 2024 · Lecture notes in networks and systems
  63. Foetal Activity Detection Using Deep Convolution Neural Networks
    Xavier Arockiaraj Santhappan, Ronica Bis · 2024 · Advances in computational intelligence and robotics book series
  64. 3D Ultrasound Using 3D Phantom Models for Oculofacial Injuries in Emergencies
    Danesh Khazaei, Danesh Khazaei, Nashrah Junejo, Binita Bhattarai, G. Seethapathy, John J. Lipor, Faryar Etesami, John D. Ng · 2025 · Springer eBooks
  65. Deep Machine Learning in Eye Ultrasound
    John J. Lipor, Hadi Khazaei, Danesh Khazaei, Andrew Franck, John D. Ng, Faryar Etesami · 2025 · Springer eBooks
  66. Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound images
    Kyprianos Dimou, Floris Alexandrou, Yiannis Roussakis, Constantinos Zamboglou, Triantafyllos Stylianopoulos, Chrysovalantis Voutouri · 2026 · Frontiers in Artificial Intelligence