AIMC Topic: Image Processing, Computer-Assisted

Clear Filters Showing 451 to 460 of 10288 articles

An explainable transformer model for Alzheimer's disease detection using retinal imaging.

Scientific reports
Alzheimer's disease (AD) is a neurodegenerative disorder that affects millions worldwide. In the absence of effective treatment options, early diagnosis is crucial for initiating management strategies to delay disease onset and slow down its progress...

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Scientific reports
Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at t...

Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ...

Early and non-destructive prediction of the differentiation efficiency of human induced pluripotent stem cells using imaging and machine learning.

Scientific reports
The reproducibility and robustness of many directed differentiation protocols from human induced pluripotent stem cells (hiPSCs) remain low, and the long differentiation induction period significantly limits protocol optimization. To address this, we...

Large-vocabulary forensic pathological analyses via prototypical cross-modal contrastive learning.

Nature communications
Forensic pathology plays a vital role in determining the cause and manner of death through macroscopic and microscopic post-mortem examinations. However, the field faces challenges such as variability in outcomes, labor-intensive processes, and a sho...

Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

Biomedical physics & engineering express
. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predicting the risk of future breast cancer development. However, accurately measuring VBD from archived x-ray mammograms remains challenging. In a previous ...

Multi-scale interaction and locally enhanced bridging network for medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Accurate organ segmentation is crucial for precise medical diagnosis. Recent methods in CNNs and Transformers have significantly enhanced automatic medical image segmentation. Their encoders and decoders often rely on simple skip connections, which f...

SNA-SKAN: Unpaired learning for SDOCT speckle noise removal based on self noise assist and kolmogorov-arnold network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Optical Coherence Tomography (OCT) will inevitably be contaminated by speckle noise when imaging, resulting in a decrease in the visual quality of images and affecting clinical diagnosis. Existing unsupervised denoising methods often rely on complex ...

MinT: Magnetic resonance image unsupervised translation via decoupling anatomical structure and contrast.

Computers in biology and medicine
Unsupervised image-to-image translation, which synthesizes new images from existing ones, has become a prominent research topic in computer vision. This technique is particularly valuable in the magnetic resonance (MR) imaging domain, where acquiring...

High-throughput screening system for immunogenic cell death inducers using artificial intelligence-based real-time image analysis.

Computers in biology and medicine
Immunogenic cell death (ICD) can enhance the immunogenicity of cold tumors, convert them into immune-responsive hot tumors, and improve the efficacy of cancer immunotherapy. Because ICD inducers cause cell swelling, membrane rupture, and the release ...