AIMC Topic: Image Processing, Computer-Assisted

Clear Filters Showing 31 to 40 of 9853 articles

StarVasc: hyper-dimensional and spectral feature expansion for lightweight vascular enhancement.

Journal of robotic surgery Aug 10, 2025
Vascular contrast enhancement is crucial for early disease diagnosis and surgical precision in robotic surgery imaging. Traditional white-light imaging often fails to distinguish blood vessels due to the spectral similarity between vessels and surrou...
Robotic Surgical Procedures Image Enhancement Blood Vessels Humans Image Processing, Computer-Assisted
View on PubMed DOI

Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images.

Scientific reports Aug 9, 2025
Brain stroke is an illness which affects almost every age group, particularly people over 65. There are two significant kinds of strokes: ischemic and hemorrhagic strokes. Blockage of brain vessels causes an ischemic stroke, while cracks in blood ves...
Stroke Persons with Disabilities Image Processing, Computer-Assisted Humans Artificial Intelligence Brain Deep Learning Algorithms
View on PubMed DOI

Oral cancer detection via Vanilla CNN optimized by improved artificial protozoa optimizer.

Scientific reports Aug 9, 2025
In this study, we propose a new method for oral cancer detection using a modified Vanilla Convolutional Neural Network (CNN) architecture with incorporated batch normalization, dropout regularization, and a customized design structure for the convolu...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Mouth Neoplasms Algorithms ROC Curve
View on PubMed DOI

BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Humans Deep Learning Convolutional Neural Networks Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Female Breast Neoplasms Neural Networks, Computer Algorithms
View on PubMed DOI

LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation.

PloS one Aug 8, 2025
Since Transformers have demonstrated excellent performance in the segmentation of two-dimensional medical images, recent works have also introduced them into 3D medical segmentation tasks. For example, hierarchical transformers like Swin UNETR have r...
Algorithms Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
View on PubMed DOI

Lightweight grape leaf disease recognition method based on transformer framework.

Scientific reports Aug 7, 2025
Grape disease image recognition is an important part of agricultural disease detection. Accurately identifying diseases allows for timely prevention and control at an early stage, which plays a crucial role in reducing yield losses. This study addres...
Plant Diseases Plant Leaves Vitis Algorithms Image Processing, Computer-Assisted
View on PubMed DOI

Quantitative image analysis of the extracellular matrix of esophageal squamous cell carcinoma and high grade dysplasia via two-photon microscopy.

Scientific reports Aug 7, 2025
Squamous cell carcinoma (SCC) and high-grade dysplasia (HGD) are two different pathological entities; however, they sometimes share similarities in histological structure depending on the context. Thus, distinguishing between the two may require care...
Humans Carcinoma, Squamous Cell Aged Female Extracellular Matrix Image Processing, Computer-Assisted Esophageal Squamous Cell Carcinoma Male Microscopy, Fluorescence, Multiphoton Support Vector Machine Middle Aged Esophageal Neoplasms
View on PubMed DOI

Multi-module UNet++ for colon cancer histopathological image segmentation.

Scientific reports Aug 7, 2025
In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellular contours serves as the fundamental basis for achieving accurate clinical diagnosis. However, this task presents significant challenges due to compl...
Colonic Neoplasms Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI

Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Scientific reports Aug 6, 2025
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud...
Phantoms, Imaging Computer Simulation Calcium Humans Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Iodine Algorithms Gadolinium
View on PubMed DOI

Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels.

Scientific data Aug 6, 2025
Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. However, the training of such models requires large amounts of labelled data and not al...
Animals Deep Learning Austria Machine Learning Image Processing, Computer-Assisted Moths Biodiversity Butterflies
View on PubMed DOI
Popular Topics
Recent Journals