Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance

2 June 2023

Papers citing "Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance"

7 / 7 papers shown

Title
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 32 2 0 07 Nov 2024
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer Qinji Yu Yirui Wang K. Yan Haoshen Li Dazhou Guo ... Na Shen Qifeng Wang Xiaowei Ding X. Ye Dakai Jin MedIm 66 2 0 04 Apr 2024
One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts Ziheng Zhao Yao Zhang Chaoyi Wu Xiaoman Zhang Ya-Qin Zhang Yanfeng Wang Weidi Xie VLM MedIm 30 37 0 28 Dec 2023
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 65 101 0 18 Jan 2021
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 13 1,027 0 02 Nov 2020
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 57 94 0 30 Oct 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017