Attention-based generative adversarial network in medical imaging: A narrative review
J Zhao, X Hou, M Pan, H Zhang - Computers in Biology and Medicine, 2022 - Elsevier
As a popular probabilistic generative model, generative adversarial network (GAN) has
been successfully used not only in natural image processing, but also in medical image …
been successfully used not only in natural image processing, but also in medical image …
When medical images meet generative adversarial network: recent development and research opportunities
Deep learning techniques have promoted the rise of artificial intelligence (AI) and performed
well in computer vision. Medical image analysis is an important application of deep learning …
well in computer vision. Medical image analysis is an important application of deep learning …
A deep-learning model for transforming the style of tissue images from cryosectioned to formalin-fixed and paraffin-embedded
KB Ozyoruk, S Can, B Darbaz, K Başak… - Nature Biomedical …, 2022 - nature.com
Histological artefacts in cryosectioned tissue can hinder rapid diagnostic assessments
during surgery. Formalin-fixed and paraffin-embedded (FFPE) tissue provides higher quality …
during surgery. Formalin-fixed and paraffin-embedded (FFPE) tissue provides higher quality …
SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation
In the last decade, numerous supervised deep learning approaches have been proposed for
visual–inertial odometry (VIO) and depth map estimation, which require large amounts of …
visual–inertial odometry (VIO) and depth map estimation, which require large amounts of …
VR-Caps: a virtual environment for capsule endoscopy
Current capsule endoscopes and next-generation robotic capsules for diagnosis and
treatment of gastrointestinal diseases are complex cyber-physical platforms that must …
treatment of gastrointestinal diseases are complex cyber-physical platforms that must …
Deep learning in biomedical optics
This article reviews deep learning applications in biomedical optics with a particular
emphasis on image formation. The review is organized by imaging domains within …
emphasis on image formation. The review is organized by imaging domains within …
Towards automatic recognition of pure and mixed stones using intra‐operative endoscopic digital images
V Estrade, M Daudon, E Richard, JC Bernhard… - BJU …, 2022 - Wiley Online Library
Objective To assess automatic computer‐aided in situ recognition of the morphological
features of pure and mixed urinary stones using intra‐operative digital endoscopic images …
features of pure and mixed urinary stones using intra‐operative digital endoscopic images …
Assessment of narrow band imaging algorithm for video capsule endoscopy based on decorrelated color space for esophageal cancer
Simple Summary Video capsule endoscopy (VCE) is a small, patient-friendly tool used for
medical imaging, but it lacks narrow band imaging (NBI), which is crucial for detecting …
medical imaging, but it lacks narrow band imaging (NBI), which is crucial for detecting …
Generating synthetic contrast enhancement from non-contrast chest computed tomography using a generative adversarial network
This study aimed to evaluate a deep learning model for generating synthetic contrast-
enhanced CT (sCECT) from non-contrast chest CT (NCCT). A deep learning model was …
enhanced CT (sCECT) from non-contrast chest CT (NCCT). A deep learning model was …
E-SEVSR-Edge Guided Stereo Endoscopic Video Super-Resolution
M Hayat, S Aramvith - IEEE Access, 2024 - ieeexplore.ieee.org
Integrating Stereo Imaging technology into medical diagnostics and surgeries marks a
significant revolution in medical sciences. This advancement gives surgeons and physicians …
significant revolution in medical sciences. This advancement gives surgeons and physicians …