A scoping review of transfer learning research on medical image analysis using ImageNet

27 April 2020

Papers citing "A scoping review of transfer learning research on medical image analysis using ImageNet"

20 / 20 papers shown

Title
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li Haoran Wang Weibo Ma Qing Chang VLM MedIm 106 0 0 24 Feb 2025
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 41 4 0 30 May 2024
Osteosarcoma Tumor Detection using Transfer Learning Models Raisa Fairooz Meem K. T. Hasan 11 2 0 16 May 2023
Automatic learning algorithm selection for classification via convolutional neural networks S. Maldonado Carla Vairetti Ignacio Figueroa 29 0 0 16 May 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 24 11 0 13 Mar 2023
A Survey on Deep Industrial Transfer Learning in Fault Prognostics Benjamin Maschler AI4CE 24 2 0 04 Jan 2023
Decomposing 3D Neuroimaging into 2+1D Processing for Schizophrenia Recognition Mengjiao Hu Xudong Jiang K. Sim J. Zhou Cuntai Guan 18 0 0 21 Nov 2022
Vision Transformers in Medical Imaging: A Review Emerald U. Henry Onyeka Emebob C. Omonhinmin ViT MedIm 34 34 0 18 Nov 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 31 12 0 13 Oct 2022
Self-Supervised Pretraining for 2D Medical Image Segmentation András Kalapos Bálint Gyires-Tóth 14 30 0 01 Sep 2022
The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning Alireza Borjali S. Ashkani-Esfahani R. Bhimani D. Guss O. Muratoglu C. DiGiovanni K. Varadarajan B. Lubberts 18 8 0 07 Jul 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 27 85 0 02 Mar 2022
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest M. Demirer Richard D. White Vikash Gupta R. Sebro B. S. Erdal 35 1 0 25 Aug 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 29 63 0 29 Jul 2021
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays G. Jignesh Chowdary G. Suganya M. Premalatha K. Karunamurthy 29 6 0 19 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 32 41 0 07 Jul 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 48 529 0 18 Feb 2021
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images M. J. Horry Subrata Chakraborty B. Pradhan M. Paul D. Gomes Anwaar-ul Haq 23 11 0 10 Dec 2020
Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network Alireza Borjali Antonia F. Chen O. Muratoglu M. Morid K. Varadarajan 14 16 0 02 Dec 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017