Results 161 to 170 of about 128,746 (262)

Exploring a Novel Conv‐Transformer Network for Multi‐Modality Heart Segmentation

open access: yesiRADIOLOGY, EarlyView.
We propose SFAM‐TransUnet for multimodality whole heart segmentation, a novel deep learning framework combining CNNs and transformers. Extensive experiments conducted on the clinical Multi‐Modality Whole Heart Segmentation datasets demonstrate that SFAM‐TransUnet outperforms various alternative methods.
Youyou Ding   +6 more
wiley   +1 more source

Weakly Supervised Generative Adversarial Networks for 3D Reconstruction. [PDF]

open access: green, 2017
JunYoung Gwak   +4 more
openalex  

Generative adversarial network

open access: yes, 2019
Matt Adams   +2 more
openaire   +1 more source

Virtual Magnetic Resonance Elastography Using a Deep Generative Model for Liver Fibrosis Staging

open access: yesiRADIOLOGY, EarlyView.
The proposed Registration‐based Generative Adversarial Network‐Convolutional Block Attention Module (RegGAN‐CBAM) model efficiently and reliably generates virtual MR elastography using diffusion weighted imaging. Strong correlation between virtual and native MR elastography for liver stiffness and viscosity are observed.
Longyu Sun   +9 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy Research and Technique, EarlyView.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari   +5 more
wiley   +1 more source

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