AIMC Topic: Image Processing, Computer-Assisted

Clear Filters Showing 331 to 340 of 9585 articles

Generating realistic single-cell images from CellProfiler representations.

Medical image analysis Apr 10, 2025
High-throughput imaging techniques acquire large amounts of images efficiently. These images contain rich biological information including cellular processes. A common method to analyse them is to encode them into quantitative representation vectors....
Humans Machine Learning Image Processing, Computer-Assisted Algorithms Single-Cell Analysis
View on PubMed DOI

μGlia-Flow, an automatic workflow for microglia segmentation and classification.

Journal of neuroscience methods Apr 10, 2025
BACKGROUND: Microglia are important immune cells in the central nervous system, playing a key role in various pathological processes. The morphological diversity of microglia is closely linked to the development of brain diseases, yet accurate segmen...
Algorithms Animals Microglia Deep Learning Workflow Image Processing, Computer-Assisted
View on PubMed DOI

FetDTIAlign: A deep learning framework for affine and deformable registration of fetal brain dMRI.

NeuroImage Apr 10, 2025
Diffusion MRI (dMRI) offers unique insights into the microstructure of fetal brain tissue in utero. Longitudinal and cross-sectional studies of fetal dMRI have the potential to reveal subtle but crucial changes associated with normal and abnormal neu...
Fetus Diffusion Magnetic Resonance Imaging Humans Female Brain Deep Learning Pregnancy Image Processing, Computer-Assisted
View on PubMed DOI

MDAL: Modality-difference-based active learning for multimodal medical image analysis via contrastive learning and pointwise mutual information.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 9, 2025
Multimodal medical images reveal different characteristics of the same anatomy or lesion, offering significant clinical value. Deep learning has achieved widespread success in medical image analysis with large-scale labeled datasets. However, annotat...
Humans Ovarian Neoplasms Female Deep Learning Glioma Image Interpretation, Computer-Assisted Brain Neoplasms Image Processing, Computer-Assisted Meningioma Multimodal Imaging
View on PubMed DOI

DIPathMamba: A domain-incremental weakly supervised state space model for pathology image segmentation.

Medical image analysis Apr 9, 2025
Accurate segmentation of pathology images plays a crucial role in digital pathology workflow. However, two significant issues exist with the present pathology image segmentation methods: (i) Most fully supervised models rely on dense pixel-level anno...
Image Processing, Computer-Assisted Supervised Machine Learning Image Interpretation, Computer-Assisted Humans Algorithms
View on PubMed DOI

Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.

Medical physics Apr 9, 2025
BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment abnormal regions, such as cerebral edema and hemorrhages, using only healthy training data. Recent advancements in generative models have achieved suc...
Diffusion Semantics Humans Tomography, X-Ray Computed Brain Injuries, Traumatic Unsupervised Machine Learning Image Processing, Computer-Assisted
View on PubMed DOI

Portal dose image prediction using Monte Carlo generated transmission energy fluence maps of dynamic radiotherapy treatment plans: a deep learning approach.

Biomedical physics & engineering express Apr 9, 2025
This work aims to develop and investigate the feasibility of a hybrid model combining Monte Carlo (MC) simulations and deep learning (DL) to predict electronic portal imaging device (EPID) images based on MC-generated exit phase space energy fluence ...
Phantoms, Imaging Particle Accelerators Radiotherapy, Intensity-Modulated Monte Carlo Method Neoplasms Radiotherapy Planning, Computer-Assisted Algorithms Image Processing, Computer-Assisted Deep Learning Radiotherapy Dosage Humans Computer Simulation
View on PubMed DOI

Automated spectral decomposition and reconstruction of optical properties using a mixed autoencoder approach.

Journal of biomedical optics Apr 9, 2025
SIGNIFICANCE: Investigating optical properties (OPs) is crucial in the field of biophotonics, as it has a broad impact on understanding light-tissue interactions. However, current techniques, such as inverse Monte Carlo simulations (IMCS), have limit...
Image Processing, Computer-Assisted Phospholipids Optical Imaging Scattering, Radiation Monte Carlo Method Neural Networks, Computer Algorithms Autoencoder
View on PubMed DOI

Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot.

Frontiers in endocrinology Apr 9, 2025
OBJECTIVE: This study aims to conduct an in-depth analysis of diabetic foot ulcer (DFU) images using deep learning models, achieving automated segmentation and classification of the wounds, with the goal of exploring the application of artificial int...
Image Processing, Computer-Assisted Male Diabetic Foot Deep Learning Humans Female
View on PubMed DOI

Deep Learning-Based Medical Ultrasound Image and Video Segmentation Methods: Overview, Frontiers, and Challenges.

Sensors (Basel, Switzerland) Apr 8, 2025
The intricate imaging structures, artifacts, and noise present in ultrasound images and videos pose significant challenges for accurate segmentation. Deep learning has recently emerged as a prominent field, playing a crucial role in medical image pro...
Video Recording Ultrasonography Algorithms Image Processing, Computer-Assisted Deep Learning Humans
View on PubMed DOI
Popular Topics
Recent Journals