Learning More with Less: GAN-based Medical Image Augmentation

Learning More with Less: GAN-based Medical Image Augmentation

29 March 2019

Shiníchi Satoh

Hideki Nakayama

Papers citing "Learning More with Less: GAN-based Medical Image Augmentation"

5 / 5 papers shown

Title
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators Lois Orosa Skanda Koppula Yaman Umuroglu Konstantinos Kanellopoulos Juan Gómez Luna Michaela Blott K. Vissers O. Mutlu 46 4 0 04 Feb 2022
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images Chang Qi Junyang Chen Guizhi Xu Zhenghua Xu Thomas Lukasiewicz Yang Liu GAN MedIm 16 13 0 15 Nov 2020
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems Changhee Han L. Rundo K. Murao T. Nemoto Hideki Nakayama MedIm 30 27 0 12 Jan 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 668 0 16 Oct 2019
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation D. Jin Ziyue Xu Youbao Tang Adam P. Harrison D. Mollura MedIm 57 185 0 11 Jun 2018