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
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications M. R. Azghadi Corey Lammie Jason Eshraghian Melika Payvand Elisa Donati B. Linares-Barranco Giacomo Indiveri 30 139 0 11 Jul 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Kaichen Zhou Elsa D. Angelini Yike Guo Wenjia Bai MedIm 27 33 0 26 Jun 2020
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation Xinyue Huo Lingxi Xie Jianzhong He Zijie Yang Qi Tian 14 0 0 24 Jun 2020
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation Wentao Zhu Can Zhao Wenqi Li H. Roth Ziyue Xu Daguang Xu 3DV 32 18 0 22 Jun 2020
Maximum Roaming Multi-Task Learning Lucas Pascal Pietro Michiardi Xavier Bost B. Huet Maria A. Zuluaga 31 31 0 17 Jun 2020
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks Davood Karimi Simon K. Warfield Ali Gholipour MedIm 16 19 0 30 May 2020
Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks Gabriel García Rocío del Amor Adrián Colomer Valery Naranjo 10 22 0 29 May 2020
Bridging the gap between Natural and Medical Images through Deep Colorization Lia Morra Luca Piano Fabrizio Lamberti Tatiana Tommasi MedIm 31 15 0 21 May 2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification Vajira Thambawita Debesh Jha Hugo Lewi Hammer H. Johansen Dag Johansen P. Halvorsen Michael A. Riegler 8 45 0 08 May 2020
Predicting Scores of Medical Imaging Segmentation Methods with Meta-Learning Tom van Sonsbeek V. Cheplygina 23 2 0 08 May 2020
Multi-task pre-training of deep neural networks for digital pathology Romain Mormont Pierre Geurts R. Marée 8 50 0 05 May 2020
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19 Yifan Zhang Shuaicheng Niu Zhen Qiu Ying Wei P. Zhao Jianhua Yao Junzhou Huang Qingyao Wu Mingkui Tan OOD 16 69 0 30 Apr 2020
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis Xiaozhen Xie J. Niu Xuefeng Liu Zhengsu Chen Shaojie Tang Shui Yu 22 15 0 25 Apr 2020
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images? Xingyu Li Konstantinos N. Plataniotis MedIm 8 14 0 24 Apr 2020
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion X. Liang D. Nguyen Steve B. Jiang OOD 8 33 0 16 Apr 2020
Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray Tawsifur Rahman M. Chowdhury Amith Khandakar K. R. Islam Khandaker F. Islam Z. Mahbub M. A. Kadir S. Kashem 22 450 0 14 Apr 2020
Improving Calibration and Out-of-Distribution Detection in Medical Image Segmentation with Convolutional Neural Networks Davood Karimi Ali Gholipour OOD 28 9 0 12 Apr 2020
Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data Enzo Tartaglione C. Barbano C. Berzovini M. Calandri Marco Grangetto 39 185 0 11 Apr 2020
Models Genesis Zongwei Zhou V. Sodha Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm 21 27 0 09 Apr 2020
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation Neerav Karani Ertunc Erdil K. Chaitanya E. Konukoglu OOD 23 162 0 09 Apr 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao 16 29 0 31 Mar 2020
Computer Aided Detection for Pulmonary Embolism Challenge (CAD-PE) G. González Daniel Jimenez-Carretero Sara Rodríguez-López Carlos Cano-Espinosa M. Cazorla ... E. Fraile F. Rybicki A. Kassarjian Raúl San José Estépar María J. Ledesma-Carbayo 14 10 0 30 Mar 2020
Can AI help in screening Viral and COVID-19 pneumonia? M. Chowdhury Tawsifur Rahman Amith Khandakar Rashid Mazhar M. A. Kadir ... Muhammad Salman Khan A. Iqbal N. Al-Emadi M. Reaz T. I. Islam 45 1,331 0 29 Mar 2020
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks Qihang Yu Yingwei Li Jieru Mei Yuyin Zhou Alan Yuille 3DPC 28 3 0 28 Mar 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,709 0 18 Mar 2020
3D medical image segmentation with labeled and unlabeled data using autoencoders at the example of liver segmentation in CT images Cheryl Sital T. Brosch Dominique Tio A. Raaijmakers J. Weese 13 3 0 17 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 91 388 0 10 Mar 2020
Exploring the Efficacy of Transfer Learning in Mining Image-Based Software Artifacts Natalie Best J. Ott Erik J. Linstead 14 30 0 03 Mar 2020
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos Priyanto Hidayatullah Xueting Wang T. Yamasaki T. Mengko R. Munir A. Barlian E. Sukmawati Supraptono Supraptono ObjD 18 19 0 03 Mar 2020
ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection Chenhan Jiang Shaoju Wang Hang Xu Xiaodan Liang Nong Xiao MedIm 18 15 0 03 Mar 2020
The Utility of Feature Reuse: Transfer Learning in Data-Starved Regimes Rashik Shadman M. G. Sarwar Murshed E. Verenich Alvaro Velasquez Faraz Hussain 11 4 0 29 Feb 2020
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis Florian Lemarchand Erwan Nogues Maxime Pelcat 8 5 0 18 Feb 2020
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks Youngmin Ro J. Choi 22 5 0 14 Feb 2020
Forecasting adverse surgical events using self-supervised transfer learning for physiological signals Hugh Chen Scott M. Lundberg G. Erion Jerry H. Kim Su-In Lee AI4TS 17 3 0 12 Feb 2020
Classification of Chest Diseases using Wavelet Transforms and Transfer Learning Ahmed Rasheed M. S. Younis Muhammad Bilal M. Rasheed OOD 6 3 0 03 Feb 2020
Deep Transfer Convolutional Neural Network and Extreme Learning Machine for Lung Nodule Diagnosis on CT images Xufeng Huang Qiang Lei Tingli Xie Yiming Zhang Zhen Hu Qi Zhou MedIm 18 77 0 05 Jan 2020
Deep neural network models for computational histopathology: A survey C. Srinidhi Ozan Ciga Anne L. Martel AI4CE 39 564 0 28 Dec 2019
Automated Thalamic Nuclei Segmentation Using Multi-Planar Cascaded Convolutional Neural Networks Mohammed S. Majdi M. Keerthivasan B. Rutt N. Zahr Jeffrey J. Rodríguez M. Saranathan 27 0 0 16 Dec 2019
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples Nils Lukas Yuxuan Zhang Florian Kerschbaum MLAU FedML AAML 33 144 0 02 Dec 2019
Deep Learning based HEp-2 Image Classification: A Comprehensive Review Saimunur Rahman Lei Wang Changming Sun Luping Zhou VLM 22 33 0 20 Nov 2019
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images Zahra Riahi Samani J. A. Alappatt D. Parker A. A. O. Ismail R. Verma MedIm 28 31 0 15 Nov 2019
Transfer Learning in 4D for Breast Cancer Diagnosis using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Qiyuan Hu H. Whitney M. Giger MedIm 8 4 0 08 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 24 218 0 06 Nov 2019
Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer A. Gilbert M. Holden L. Eikvil Mariia Rakhmail Aleksandar Babić S. Aase E. Samset K. Mcleod 14 2 0 06 Nov 2019
RIGA: Covert and Robust White-Box Watermarking of Deep Neural Networks Tianhao Wang Florian Kerschbaum AAML 19 36 0 31 Oct 2019
Vanishing Nodes: Another Phenomenon That Makes Training Deep Neural Networks Difficult Wen-Yu Chang Tsung-Nan Lin GNN 14 0 0 22 Oct 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 19 678 0 21 Oct 2019
Multi-Stage Pathological Image Classification using Semantic Segmentation Shusuke Takahama Y. Kurose Yusuke Mukuta Hiroyuki Abe M. Fukayama Akihiko Yoshizawa M. Kitagawa Tatsuya Harada 14 48 0 10 Oct 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis Samuel Budd E. C. Robinson Bernhard Kainz LM&MA 6 469 0 07 Oct 2019
Pi-PE: A Pipeline for Pulmonary Embolism Detection using Sparsely Annotated 3D CT Images Deepta Rajan David Beymer Shafiq Abedin E. Dehghan 27 27 0 05 Oct 2019