DeepSIT: Deeply Supervised Framework for Image Translation on Breast Cancer Analysis
Author:
Affiliation:
1. Colegio de Ciencias e Ingenierías “El Politécnico”
2. Universidad Internacional del Ecuador UIDE,Departamento de Investigación y Postgrados,Quito,Ecuador
Funder
Applied Signal Processing and Machine Learning Research Group of USFQ
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10179008/10178988/10178999.pdf?arnumber=10178999
Reference19 articles.
1. BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
2. MedGAN: Medical image translation using GANs
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4. Detection of HER2 from Haematoxylin-Eosin Slides Through a Cascade of Deep Learning Classifiers via Multi-Instance Learning
5. Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection
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