AIMC Topic: Image Processing, Computer-Assisted
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Enhancing interdisciplinary image segmentation through a Gaussian-based modified local consensus spatial fuzzy approach.
Computers in biology and medicine
Mar 22, 2025
This study aims to introduce a generic fuzzy-based approach tailored explicitly for classifying images originating from an array of diverse sources, having varying degrees of spectral and spatial resolutions, inhomogeneity, artifacts, and entirely di...
A novel framework for segmentation of small targets in medical images.
Scientific reports
Mar 22, 2025
Medical image segmentation represents a pivotal and intricate procedure in the domain of medical image processing and analysis. With the progression of artificial intelligence in recent years, the utilization of deep learning techniques for medical i...
Deep Guess acceleration for explainable image reconstruction in sparse-view CT.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 21, 2025
Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiation in medical imaging. Reconstructions based on the traditional Filtered Back Projection algorithm suffer from severe artifacts due to sparse data. In c...
Deformable image registration with strategic integration pyramid framework for brain MRI.
Magnetic resonance imaging
Mar 21, 2025
Medical image registration plays a crucial role in medical imaging, with a wide range of clinical applications. In this context, brain MRI registration is commonly used in clinical practice for accurate diagnosis and treatment planning. In recent yea...
A first explainable-AI-based workflow integrating forward-forward and backpropagation-trained networks of label-free multiphoton microscopy images to assess human biopsies of rare neuromuscular disease.
Computer methods and programs in biomedicine
Mar 21, 2025
BACKGROUND AND OBJECTIVE: Diagnosis of rare neuromuscular diseases often relies on muscle biopsy analysis, which varies based on the evaluator's experience. Advances in deep learning show promise in improving diagnostic accuracy by identifying standa...
HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images.
Computers in biology and medicine
Mar 21, 2025
We introduce an end-to-end framework for the automated visual annotation of histopathology whole slide images. Our method integrates deep learning models to achieve precise localization and classification of cell nuclei with spatial data aggregation ...
SegElegans: Instance segmentation using dual convolutional recurrent neural network decoder in Caenorhabditis elegans microscopic images.
Computers in biology and medicine
Mar 21, 2025
Caenorhabditis elegans is a great model for exploring organismal, cellular, and subcellular biology through optical and fluorescence microscopy, with its research applications steadily expanding. However, manual processing of numerous microscopic ima...
AI-based deformable hippocampal mesh reflects hippocampal morphological characteristics in relation to cognition in healthy older adults.
NeuroImage
Mar 21, 2025
Magnetic resonance imaging (MRI)-derived hippocampus measurements have been associated with different cognitive domains. The knowledge of hippocampal structural deformations as we age has contributed to our understanding of the overall aging process....
PULSE: A DL-Assisted Physics-Based Approach to the Inverse Problem of Electrocardiography.
IEEE transactions on bio-medical engineering
Mar 21, 2025
This study introduces an innovative approach combining deep-learning techniques with classical physics-based electrocardiographic imaging (ECGI) methods. Our objective is to enhance the accuracy and robustness of ECGI reconstructions. We reshape the ...
Automated classification of tertiary lymphoid structures in colorectal cancer using TLS-PAT artificial intelligence tool.
Scientific reports
Mar 21, 2025
Colorectal cancer (CRC) ranks as the third most common and second deadliest cancer worldwide. The immune system, particularly tertiary lymphoid structures (TLS), significantly influences CRC progression and prognosis. TLS maturation, especially in th...
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