Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

2 June 2017

Christopher B. Kendall

Michael B. Gotway

Jianming Liang

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Papers citing "Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?"

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Title
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts Qi Lu Chuyang Ye 30 7 0 30 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images Yiming Bao Jun Wang Tong Li Linyan Wang Jianwei Xu Juan Ye Xiaobo Li OOD 18 3 0 07 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis E. Jun Seungwoo Jeong Da-Woon Heo Heung-Il Suk ViT MedIm 40 42 0 28 Apr 2021
FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 Pneumonia Longling Zhang Bochen Shen A. Barnawi Shan Xi Neeraj Kumar Yi Wu FedML MedIm 83 80 0 26 Apr 2021
MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning Xiangde Luo Guotai Wang Tao Song Jingyang Zhang Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren Shaoting Zhang 45 96 0 25 Apr 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation Dwarikanath Mahapatra 23 53 0 13 Apr 2021
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study Miguel Rodríguez Santander Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 21 4 0 02 Apr 2021
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses Saurav Maji Utsav Banerjee A. Chandrakasan AAML 36 30 0 26 Mar 2021
Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI Reza Shirkavand Sana Ayromlou Soroush Farghadani M. Tahaei Fattane Pourakpour Bahareh Siahlou Z. Khodakarami M. Rohban M. Fatehi Hamid R. Rabiee 33 1 0 18 Mar 2021
CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection Abdul Waheed Muskan Goyal Deepak Gupta Ashish Khanna F. Al-turjman P. Pinheiro MedIm 22 573 0 08 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification Matej Gazda J. Gazda J. Plávka P. Drotár SSL 35 54 0 04 Mar 2021
PFA: Privacy-preserving Federated Adaptation for Effective Model Personalization Bingyan Liu Yao Guo Xiangqun Chen FedML 18 81 0 02 Mar 2021
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning Bingyan Liu Yifeng Cai Yao Guo Xiangqun Chen 19 55 0 02 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 34 106 0 21 Feb 2021
Momentum Residual Neural Networks Michael E. Sander Pierre Ablin Mathieu Blondel Gabriel Peyré 27 57 0 15 Feb 2021
Learning Efficient, Explainable and Discriminative Representations for Pulmonary Nodules Classification Hanliang Jiang Fuhao Shen Fei Gao Weidong Han 34 83 0 19 Jan 2021
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks P. Brandao Odysseas Zisimopoulos E. Mazomenos G. Ciuti Jorge Bernal ... P. Dario Anastasios Koulaouzidis A. Arezzo D. Hawkes Danail Stoyanov MedIm 27 64 0 15 Jan 2021
MRI Images, Brain Lesions and Deep Learning D. Castillo Vasudevan Lakshminarayanan M. Rodríguez-Álvarez OOD 30 3 0 13 Jan 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 35 68 0 07 Jan 2021
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine Vivek Parekh D. Flore S. Schöps AI4CE 8 22 0 16 Dec 2020
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 114 306 0 27 Nov 2020
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images Tawsifur Rahman Amith Khandakar Yazan Qiblawey Anas Tahir S. Kiranyaz ... M. Islam S. Al-Maadeed S. Zughaier Muhammad Salman Khan M. Chowdhury 16 812 0 25 Nov 2020
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19 Ioannis D. Apostolopoulos Mpesiana A. Tzani 22 30 0 23 Nov 2020
Decision and Feature Level Fusion of Deep Features Extracted from Public COVID-19 Data-sets Hamza Osman Ilhan Gorkem Serbes N. Aydin 25 27 0 17 Nov 2020
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification Ruqian Hao Khashayar Namdar Lin Liu Farzad Khalvati MedIm 11 48 0 16 Nov 2020
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning Debesh Jha Sharib Ali Nikhil Kumar Tomar Haavard D. Johansen Dag Johansen J. Rittscher Michael A. Riegler P. Halvorsen 6 67 0 15 Nov 2020
Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery Moucheng Xu 13 0 0 24 Oct 2020
SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning Jianlei Chi YunHuan Qu Ting Liu Q. Zheng Heng Yin 49 50 0 21 Oct 2020
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring S. Shahinfar P. Meek G. Falzon 22 151 0 16 Oct 2020
Deep Learning in Ultrasound Elastography Imaging Hongliang Li Manish Bhatt Zhen Qu Shiming Zhang Martin C. Hartel A. Khademhosseini G. Cloutier 16 0 0 14 Oct 2020
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features L. Chauvin M. B. Lazreg J. Carluer W. Wells Matthew Toews 11 0 0 08 Oct 2020
Automatic Data Augmentation for 3D Medical Image Segmentation Ju Xu Mengzhang Li Zhanxing Zhu MedIm 15 72 0 07 Oct 2020
COVID-19 Classification Using Staked Ensembles: A Comprehensive Analysis B. LalithBharadwaj Rohit Boddeda K. Vardhan G. Madhu 15 1 0 07 Oct 2020
Machine learning approach to force reconstruction in photoelastic materials Renat Sergazinov M. Kramár 19 13 0 02 Oct 2020
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application Vikash Gupta Clayton R Taylor Sarah Bonnet Luciano M Prevedello Jeffrey R. Hawley Richard D. White Mona G. Flores B. S. Erdal 10 6 0 28 Sep 2020
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning Pochuan Wang Chen Shen H. Roth Dong Yang Daguang Xu ... Po-Ting Chen Kao-Lang Liu Wei-Chih Liao Weichung Wang K. Mori FedML OOD 20 25 0 28 Sep 2020
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering D. Gupta S. Suman Asif Ekbal 30 60 0 27 Sep 2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning Vikash Gupta H. Roth Varun Buch M. Rockenbach Richard D. White ... B. Ghoshhajra I. Dayan Daguang Xu Mona G. Flores B. S. Erdal SyDa 17 2 0 25 Sep 2020
A Systematic Review on Model Watermarking for Neural Networks Franziska Boenisch AAML 11 64 0 25 Sep 2020
Fully automated analysis of muscle architecture from B-mode ultrasound images with deep learning N. Cronin T. Finni O. Seynnes 8 20 0 10 Sep 2020
Evaluation of machine learning algorithms for Health and Wellness applications: a tutorial Jussi Tohka M. Gils 17 88 0 31 Aug 2020
Learning Models of Individual Behavior in Chess Reid McIlroy-Young Russell Wang S. Sen Jon M. Kleinberg Ashton Anderson 31 12 0 23 Aug 2020
A Deep Convolutional Neural Network for the Detection of Polyps in Colonoscopy Images Tariq Rahim Syed Ali Hassan Soo Young Shin MedIm 17 43 0 15 Aug 2020
Machine Learning in Nano-Scale Biomedical Engineering Alexandros-Apostolos A. Boulogeorgos Stylianos E. Trevlakis Sotiris A. Tegos V. Papanikolaou G. Karagiannidis AI4CE 22 29 0 05 Aug 2020
Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization Tawsifur Rahman Amith Khandakar M. A. Kadir K. R. Islam Khandaker F. Islam ... Tahir Hamid M. Islam Z. Mahbub M. Ayari M. Chowdhury 16 357 0 29 Jul 2020
A weakly supervised registration-based framework for prostate segmentation via the combination of statistical shape model and CNN Chunxia Qin Xiaojun Chen J. Troccaz 14 1 0 23 Jul 2020
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images Md. Kamrul Hasan Md. Ashraful Alam M. E. Elahi Shidhartho Roy Sifat Redwan Wahid OOD 34 22 0 21 Jul 2020
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications Lijun Gong Kai Ma Yefeng Zheng 16 14 0 20 Jul 2020