AIMC Topic: Image Processing, Computer-Assisted

Clear Filters Showing 1 to 10 of 9536 articles

Comparison of 2D, 2.5D, and 3D segmentation networks for mandibular canals in CBCT images: a study on public and external datasets.

BMC oral health Jul 8, 2025
The purpose of this study was to compare the performances of 2D, 2.5D, and 3D CNN-based segmentation networks, along with a 3D vision transformer-based segmentation network, for segmenting mandibular canals (MCs) on the public and external CBCT datas...
Humans Cone-Beam Computed Tomography Imaging, Three-Dimensional Neural Networks, Computer Mandible Image Processing, Computer-Assisted
View on PubMed DOI

Explainable deep learning approaches for high precision early melanoma detection using dermoscopic images.

Scientific reports Jul 8, 2025
Detecting skin melanoma in the early stage using dermoscopic images presents a complex challenge due to the inherent variability in images. Utilizing dermatology datasets, the study aimed to develop Automated Diagnostic Systems for early skin cancer ...
Early Detection of Cancer Image Interpretation, Computer-Assisted Skin Neoplasms Humans Dermoscopy Deep Learning Melanoma Reproducibility of Results Image Processing, Computer-Assisted
View on PubMed DOI

Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach.

Scientific reports Jul 8, 2025
Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can significantly reduce mortality rates. Mammograms are widely used for screening, but manual readings can lead to misdiagnosis. Computer-assisted diagno...
Radiographic Image Interpretation, Computer-Assisted Breast Female Breast Neoplasms Early Detection of Cancer Mammography Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI

Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Scientific reports Jul 8, 2025
Robust differentiation between infarcted and normal myocardial tissue is essential for improving diagnostic accuracy and personalizing treatment in myocardial infarction (MI). This study proposes a hybrid framework combining radiomic texture analysis...
Humans Radiomics Image Processing, Computer-Assisted Myocardial Infarction Image Interpretation, Computer-Assisted Male Deep Learning Magnetic Resonance Imaging, Cine
View on PubMed DOI

Lossy DICOM conversion may affect AI performance.

Scientific reports Jul 8, 2025
Many pathologies have started to digitize their glass slides. To ensure long term accessibility, it is desirable to store them in the DICOM format. Currently, many scanners initially store the images in vendor-specific formats and only provide DICOM ...
Female Neural Networks, Computer Humans Image Processing, Computer-Assisted Artificial Intelligence Male
View on PubMed DOI

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.

Nature communications Jul 8, 2025
Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multicentric patient data. To this e...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Benchmarking Algorithms Brain Neoplasms Humans Artificial Intelligence
View on PubMed DOI

Monochromatic LeafAdaptNet (MLAN): an adaptive approach to spinach leaf disease detection using monochromatic imaging.

World journal of microbiology & biotechnology Jul 8, 2025
A country's economic growth heavily relies on agricultural productivity, specifically nutrition derived from vegetables and leafy greens. Spinach, abundant in iron, vitamins, and other essential nutrients, plays a vital role in maintaining the health...
Plant Leaves Plant Diseases Spinacia oleracea Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Deep learning-based allergic rhinitis diagnosis using nasal endoscopy images.

Scientific reports Jul 8, 2025
Allergic rhinitis typically has edematous and pale turbinates or erythematous and inflamed turbinates. While traditional approaches include using skin prick tests (SPT) to determine the presence of AR, It is often not related to actual symptoms, and ...
Turbinates Male Adult Deep Learning Humans Image Processing, Computer-Assisted Endoscopy Female Middle Aged Rhinitis, Allergic
View on PubMed DOI

Saliency-enhanced infrared and visible image fusion via sub-window variance filter and weighted least squares optimization.

PloS one Jul 7, 2025
This paper proposes a novel method for infrared and visible image fusion (IVIF) to address the limitations of existing techniques in enhancing salient features and improving visual clarity. The method employs a sub-window variance filter (SVF) based ...
Algorithms Deep Learning Humans Infrared Rays Image Processing, Computer-Assisted Least-Squares Analysis
View on PubMed DOI

Video swin-CLSTM transformer: Enhancing human action recognition with optical flow and long-term dependencies.

PloS one Jul 7, 2025
As video data volumes soar exponentially, the significance of video content analysis, particularly Human Action Recognition (HAR), has become increasingly prominent in fields such as intelligent surveillance, sports analytics, medical rehabilitation,...
Optic Flow Video Recording Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Humans Algorithms
View on PubMed DOI
Popular Topics
Recent Journals