Attn‐DeCGAN: A Diversity‐Enhanced CycleGAN With Attention for High‐Fidelity Medical Image Translation

ABSTRACT Unpaired image‐to‐image translation has emerged as a transformative paradigm in medical imaging, enabling unpaired image translation without the need for aligned datasets. While cycle‐consistent generative adversarial networks (CycleGANs) have shown considerable promise in this domain, they...

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Bibliographic Details

Published in:	Engineering Reports
Main Authors:	Matthew Cobbinah, Henry Nunoo‐Mensah, Prince Ebenezer Adjei, Francisca Adoma Acheampong, Isaac Acquah, Eric Tutu Tchao, Andrew Selasi Agbemenu, Emmanuel Abaidoo, Ike Asamoah‐Ansah, Obed Kojo Otoo, Amina Salifu, Albert Dede, Julius Adinkrah, Jerry John Kponyo
Format:	Article
Language:	English
Published:	Wiley 2025-08-01
Subjects:	Attn‐DeCGAN mode collapse structural fidelity unpaired image‐to‐image translation vision transformers
Online Access:	https://doi.org/10.1002/eng2.70320