Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework

8 May 2023

Papers citing "Few Shot Learning for Medical Imaging: A Comparative Analysis of Methodologies and Formal Mathematical Framework"

10 / 10 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 106 30,021 0 01 Mar 2022
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review M. Ahsan Zahed Siddique 19 247 0 13 Dec 2021
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding Liyan Sun Chenxin Li Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 55 112 0 10 Dec 2020
The Unreasonable Effectiveness of Deep Learning in Artificial Intelligence T. Sejnowski 15 295 0 12 Feb 2020
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger 81 183 0 04 Feb 2019
Few-shot Learning for Named Entity Recognition in Medical Text Maximilian Hofer Andrey Kormilitzin Paul W. Goldberg A. Nevado-Holgado 36 65 0 13 Nov 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning Arnab Kumar Mondal Jose Dolz Christian Desrosiers GAN MedIm 59 120 0 29 Oct 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 36 55 0 22 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 144 18,534 0 06 Feb 2015