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
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- Ultrasound-Based Diagnosis of Breast Tumor with Parameter Transfer Multilayer Kernel Extreme Learning MachineXiaoyan 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)
- Predicting Prodromal Dementia Using Linguistic Patterns and DeficitsAhmed H. Alkenani, Yuefeng Li, Yue Xu, Qing Zhang · 2020 · IEEE Access
- Combined CNN and Pixel Feature Image for Fatty Liver Ultrasound Image ClassificationHaijiang Zhu, Yutong Liu, Xiaoyu Gao, Lei Zhang · 2022 · Computational and Mathematical Methods in Medicine
- Multi-feature Fusion for Ultrasound Breast Image Classification of Benign and MalignantMengwan Wei, Xiuming Wu, Jianqing Zhu, Peizhong Liu, Yanmin Luo, Lixin Zheng, Yongzhao Du · 2019 · International Conference on Image, Vision and Computing (ICIVC)
- A Data-Efficient Deep Learning Strategy for Tissue Characterization via Quantitative Ultrasound: Zone TrainingUfuk Soylu, Michael L. Oelze · 2023 · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
- Automatic classification of refrigerator using doubly convolutional neural network with jointly optimized classification loss and similarity lossYongchang Gao, Jian Lian, Bin Gong · 2018 · EURASIP Journal on Image and Video Processing
- Multi-sensor Image Fusion Algorithm Based on Multiresolution AnalysisZhiguo Wang, Wei Wang, Baolin Su · 2018 · International Journal of Online and Biomedical Engineering (iJOE)
- Feature Extraction of Kidney Tissue Image Based on Ultrasound Image SegmentationJie Lian, Mingyu Zhang, Na Jiang, Wei Bi, Xiaoqiu Dong · 2021 · Journal of Healthcare Engineering · Retracted
- Reading grid for feature selection relevance criteria in regressionAlexandra Degeest, Benoît Frénay, Michel Verleysen · 2021 · Pattern Recognition Letters
- Improved Classification with Semi-supervised Deep Belief NetworkGongming Wang, Junfei Qiao, Xiaoli Li, Lei Wang, Xiaolong Qian · 2017 · IFAC-PapersOnLine
- 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
- Multiple Kernel Learning Based Classification of Parkinson’s Disease With Multi-Modal Transcranial SonographyJun 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)
- Automatic Detection of Cardiac Chambers Using an Attention-based YOLOv4 Framework from Four-chamber View of Fetal EchocardiographySibo Qiao, Shanchen Pang, Gang Luo, Silin Pan, Xun Wang, Min Wang, Zhai, Xue, Taotao Chen · 2020 · arXiv (Cornell University)
- Automatic placental maturity grading via hybrid learningLei, Baiying, Tan, Ee-Leng, Chen, Siping, Li, Wanjun, Ni, Dong, Yao, Yuan, Wang, Tianfu · 2017 · Neurocomputing
- NGMMs: Neutrosophic Gaussian Mixture Models for Breast Ultrasound Image ClassificationKuan Huang, Meng Xu, Xiaojun Qi · 2021 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
- Classification of breast ultrasound with human-rating BI-RADS scores using mined diagnostic patterns and optimized neuro-networkQinghua Huang, Zhaoji Miao, Jiawei Li, Longzhong Liu, Xuelong Li · 2020 · Neurocomputing
- Analysis of facial ultrasonography images based on deep learningKang‐Woo Lee, Hyung‐Jin Lee, Hyewon Hu, Heejin Kim · 2022 · Scientific Reports
- Combination Ultrasound and Mammography for Breast Cancer Classification using Deep LearningOrawan Chunhapran, Tongjai Yampaka · 2021 · International Joint Conference on Computer Science and Software Engineering
- Deep learning without borders: recent advances in ultrasound image classification for liver diseases diagnosisMidya Yousefzamani, Farshid Babapour Mofrad · 2025 · Expert Review of Medical Devices
- Deep Learning Techniques on Texture Analysis of Chest and Breast ImagesJie-Zhi Cheng, Chung‐Ming Chen, Dinggang G. Shen · 2017 · Elsevier eBooks
- Evaluation of Convolutional Neural Network Architecture for Feasibility Analysis on Fetal Abdomen and Brain ImagesPogiri Deepika, P. Pabitha · 2021 · Journal of Medical Imaging and Health Informatics
- Application of Artificial Intelligence in Medical Imaging DiagnosisBaoming Zhang, Weili Yue, Qiang Liu, Shi‐Min Hu · 2021 · International Conference on Bioinformatics and Intelligent Computing (BIC)
- Investigating the Effectiveness of Wavelet Approximations in Resizing Images for Ultrasound Image ClassificationUmar Manzoor, Samia Nefti‐Meziani, Ferdinando Milella · 2016 · Journal of Medical Systems
- Harnessing Multiple Level Features to Improve Segmentation Performance of Deep Neural Network: A Case Study in Magnetic Resonance Imaging of Nasopharyngeal CancerRongzhi Mao, Liangxu Xie, Xiaohua Lu, Jialu Pei, Xiaojun Xu, Shan Chang · 2024 · IEEE Access
- Self Supervised Contrastive Learning on Multiple Breast Modalities Boosts Classification PerformanceShaked Perek, Mika Amit, Efrat Hexter · 2021 · Lecture notes in computer science
- Machine Learning Methods for 1D Ultrasound Breast Cancer ScreeningNeil Joshi, Seth Billings, Erika Schwartz, Susan C. Harvey, Philippe Burlina · 2017 · International Conference on Machine Learning and Applications
- Data Science is all Set to Revolutionize the Ultrasound Diagnosis in Medical Health CareMohammed Jawwad Ali Junaid, Rajeev Kumar · 2020 · International Conference on Computation, Automation and Knowledge Management (ICCAKM)
- Ultrasonic Image Diagnosis of Liver and Spleen Injury Based on a Double‐Channel Convolutional Neural NetworkMaorui He, Rui Zhang, Shuni Liu, Yansong Tan, Yang Zeng · 2021 · Wireless Communications and Mobile Computing
- The trend of artificial intelligence method in computer aided diagnosisYu Zhao, Lixu Gu, DeXu WANG · 2020 · Scientia Sinica Vitae
- Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural NetworksElham Yousef Kalafi, Ata Jodeiri, Seyed Kamaledin Setarehdan, Wei Lin Ng, Kartini Binti Rahman, Nur Aishah Mohd Taib, Sarinder Kaur Dhillon · 2021 · arXiv (Cornell University)
- LRSCnet: Local Reference Semantic Code learning for breast tumor classification in ultrasound imagesGuang Zhang, Yanwei Ren, Xiaoming Xi, Delin Li, Jie Guo, Xiaofeng Li, Cuihuan Tian, Zunyi Xu · 2021 · BioMedical Engineering OnLine
- A scoping and bibliometric review of deep learning techniques in breast cancer imaging: mapping the landscape and future directionsSorayya Rezayi, Mehrbakhsh Nilashi, Erfan Esmaeeli, Nahid Ramezanghorbani, Goli Arji, Hossein Ahmadi, Leila Shahmoradi, Maryam Zahmatkeshan · 2025 · Neural Computing and Applications
- Diagnosis of Parkinson’s Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble LearningHaijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei · 2019 · Lecture notes in computer science
- Wearable Ultrasound Interface for Prosthetic Hand ManipulationZongtian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng, Honghai Liu · 2022 · Lecture notes in computer science
- Artificial Intelligence in Quantitative Ultrasound Imaging: A ReviewBoran Zhou, Xiaofeng Yang, Tian Liu · 2020 · arXiv (Cornell University)
- Deep Learning for Predicting Breast Cancer: A Systematic Review of Progress and Future DirectionsKanika Kansal, Sanjiv Sharma · 2023 · Research Square
- Deep learning motion estimation in ultrasound imaging : Application to myocardial deformation quantificationEwan Evain · 2022
- CoopSubNet: Cooperating Subnetwork for Data-Driven Regularization of Deep Networks under Limited Training BudgetsRiddhish Bhalodia, Shireen Elhabian, Ladislav Kavan, Ross Whitaker · 2019 · arXiv (Cornell University)
- Ultrasound and artificial intelligenceBrian A. Telfer, Viksit Kumar, Aaron D. Aguirre, Anthony E. Samir, Laura J. Brattain · 2021 · Elsevier eBooks
- Tensor-based framework for training flexible neural networksYassine Zniyed, Konstantin Usevich, Sébastian Miron, David Brie · 2021 · arXiv (Cornell University)
- Data Augmentation for Morphological Analysis of Histopathological Images Using Deep LearningMartin Tabakov, Konrad Karanowski, Adam R. Chłopowiec, Adrian B. Chłopowiec, Mikolaj Kasperek · 2022 · Lecture notes in computer science
- Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning ModelsMartin Tabakov, Krzysztof Galus, Artur Zawisza, Adam R. Chłopowiec, Adrian B. Chłopowiec, Konrad Karanowski · 2023 · Vietnam Journal of Computer Science
- Deep discourse analysis for early prediction of multi-type dementiaAhmed H. Alkenani · 2023 · Queensland University of Technology
- Early Diagnosis of Rheumatoid Arthritis of the Wrist Using Power Doppler Ultrasound: A ReviewD. Priscilla Sharlet Asha, R. J. Hemalatha · 2023 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Eye biometry prediction from ultrasound images using convolutional neural networksDanesh Khazaei · 2023 · Open Journal of Clinical and Medical Images
- Using BI-RADs Breast Lesion Features-Based Classification for Breast Detection in Ultrasound ImagesKhalid Shaikh, Haytham Elmessiry · 2024 · Lecture notes in networks and systems
- Foetal Activity Detection Using Deep Convolution Neural NetworksXavier Arockiaraj Santhappan, Ronica Bis · 2024 · Advances in computational intelligence and robotics book series
- 3D Ultrasound Using 3D Phantom Models for Oculofacial Injuries in EmergenciesDanesh Khazaei, Danesh Khazaei, Nashrah Junejo, Binita Bhattarai, G. Seethapathy, John J. Lipor, Faryar Etesami, John D. Ng · 2025 · Springer eBooks
- Deep Machine Learning in Eye UltrasoundJohn J. Lipor, Hadi Khazaei, Danesh Khazaei, Andrew Franck, John D. Ng, Faryar Etesami · 2025 · Springer eBooks
- Deep learning prediction of chemo-immunotherapy response using tumor perfusion ultrasound imagesKyprianos Dimou, Floris Alexandrou, Yiannis Roussakis, Constantinos Zamboglou, Triantafyllos Stylianopoulos, Chrysovalantis Voutouri · 2026 · Frontiers in Artificial Intelligence