AIMC Topic: Image Processing, Computer-Assisted

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Spatial landmark detection and tissue registration with deep learning.

Nature methods
Spatial landmarks are crucial in describing histological features between samples or sites, tracking regions of interest in microscopy, and registering tissue samples within a common coordinate framework. Although other studies have explored unsuperv...

Colorful image reconstruction from neuromorphic event cameras with biologically inspired deep color fusion neural networks.

Bioinspiration & biomimetics
Neuromorphic event-based cameras communicate transients in luminance instead of frames, providing visual information with a fine temporal resolution, high dynamic range and high signal-to-noise ratio. Enriching event data with color information allow...

Coupling speckle noise suppression with image classification for deep-learning-aided ultrasound diagnosis.

Physics in medicine and biology
. During deep-learning-aided (DL-aided) ultrasound (US) diagnosis, US image classification is a foundational task. Due to the existence of serious speckle noise in US images, the performance of DL models may be degraded. Pre-denoising US images befor...

Recent developments in denoising medical images using deep learning: An overview of models, techniques, and challenges.

Micron (Oxford, England : 1993)
Medical imaging plays a critical role in diagnosing and treating various medical conditions. However, interpreting medical images can be challenging even for expert clinicians, as they are often degraded by noise and artifacts that can hinder the acc...

Deep Learning Imaging Reconstruction Algorithm for Carotid Dual Energy CT Angiography: Opportunistic Evaluation of Cervical Intervertebral Discs-A Preliminary Study.

Journal of imaging informatics in medicine
Thus, the aim of this study is to evaluate the performance of deep learning imaging reconstruction (DLIR) algorithm in different image sets derived from carotid dual-energy computed tomography angiography (DECTA) for evaluating cervical intervertebra...

Transformaer-based model for lung adenocarcinoma subtypes.

Medical physics
BACKGROUND: Lung cancer has the highest morbidity and mortality rate among all types of cancer. Histological subtypes serve as crucial markers for the development of lung cancer and possess significant clinical values for cancer diagnosis, prognosis,...

Deep Learning for Face Detection and Pain Assessment in Japanese macaques ().

Journal of the American Association for Laboratory Animal Science : JAALAS
Facial expressions have increasingly been used to assess emotional states in mammals. The recognition of pain in research animals is essential for their well-being and leads to more reliable research outcomes. Automating this process could contribute...

Perspectives on label-free microscopy of heterogeneous and dynamic biological systems.

Journal of biomedical optics
SIGNIFICANCE: Advancements in label-free microscopy could provide real-time, non-invasive imaging with unique sources of contrast and automated standardized analysis to characterize heterogeneous and dynamic biological processes. These tools would ov...

A Hybrid Framework of Dual-Domain Signal Restoration and Multi-depth Feature Reinforcement for Low-Dose Lung CT Denoising.

Journal of imaging informatics in medicine
Low-dose computer tomography (LDCT) has been widely used in medical diagnosis. Various denoising methods have been presented to remove noise in LDCT scans. However, existing methods cannot achieve satisfactory results due to the difficulties in (1) d...

Synthesis of gadolinium-enhanced glioma images on multisequence magnetic resonance images using contrastive learning.

Medical physics
BACKGROUND: Gadolinium-based contrast agents are commonly used in brain magnetic resonance imaging (MRI), however, they cannot be used by patients with allergic reactions or poor renal function. For long-term follow-up patients, gadolinium deposition...