Understanding the Mechanisms of Deep Transfer Learning for Medical Images

20 April 2017

Papers citing "Understanding the Mechanisms of Deep Transfer Learning for Medical Images"

7 / 7 papers shown

Title
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 20 354 0 19 Jan 2022
Deep Learning in Ultrasound Elastography Imaging Hongliang Li Manish Bhatt Zhen Qu Shiming Zhang Martin C. Hartel A. Khademhosseini G. Cloutier 22 0 0 14 Oct 2020
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
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 21 10 0 23 May 2019
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis Dovile Juodelyte Marleen de Bruijne J. Pluim 18 745 0 17 Apr 2018
Deep Learning and Conditional Random Fields-based Depth Estimation and Topographical Reconstruction from Conventional Endoscopy Faisal Mahmood Nicholas J. Durr MedIm 35 142 0 30 Oct 2017
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 343 10,639 0 19 Feb 2017