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Medical image editing in the latent space of Generative Adversarial Networks

  • Published:2021 Issue: Volume:5 Page:100040
  • ISSN:2666-5212
  • Container-title:Intelligence-Based Medicine
  • language:en
  • Short-container-title:Intelligence-Based Medicine

Author:

Fernández Blanco RubénORCID,Rosado PilarORCID,Vegas EstebanORCID,Reverter FerranORCID

Funder

Espana Ministerio de Ciencia e Innovacion

Generalitat de Catalunya Agencia de Gestio d'Ajuts Universitaris i de Recerca

Publisher

Elsevier BV

Subject

General Medicine

Reference18 articles.

1. Development and validation of a deep learning algorithm for improving gleason scoring of prostate cancer;Nagpal,2018

2. Dermatologist-level classification of skin cancer with deep neural networks;Esteva;Nature,2017

3. Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs;Gulshan;Jama,2016

4. Mitosis detection in breast cancer histology images with deep neural networks;Cireşan,2013

5. Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis;Litjens;Sci Rep,2016

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1. Semantic Image Synthesis for Abdominal CT;Lecture Notes in Computer Science;2024

2. Brain organoid data synthesis and evaluation;Frontiers in Neuroscience;2023-08-15

3. DEPAS: De-novo Pathology Semantic Masks using a Generative Model;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

4. Skin Cancer Image Augmentation Techniques Using AI: A Survey of the State-of-the-Art;ICT Infrastructure and Computing;2023

5. Generating New Sounds by Vector Arithmetic in the Latent Space of the MelGAN Architecture;Applications of Artificial Intelligence and Neural Systems to Data Science;2023
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