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"

6 / 6 papers shown

Title
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification Zhenwei Wang Qiule Sun Bingbing Zhang Pengfei Wang Jianxin Zhang Qiang Zhang VLM 38 1 0 13 Apr 2024
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study Alejandro Galán-Cuenca Antonio Javier Gallego Marcelo Saval-Calvo A. Pertusa 32 6 0 18 Jan 2024
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset Ruibo Chen Tianyi Xiong Yihan Wu Guodong Liu Zhengmian Hu Lichang Chen Yanshuo Chen Chenxi Liu Heng-Chiao Huang 27 7 0 27 Oct 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 29 17 0 20 Sep 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 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 292 10,618 0 19 Feb 2017