AIMC Topic: Image Processing, Computer-Assisted

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A method for spatial interpretation of weakly supervised deep learning models in computational pathology.

Scientific reports Jun 5, 2025
Deep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g. patient outcomes or...
Image Processing, Computer-Assisted Female Supervised Machine Learning Breast Neoplasms Humans Image Interpretation, Computer-Assisted Deep Learning Algorithms
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A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation.

Scientific reports Jun 5, 2025
In clinical medicine, a reliable and resource-friendly computer-aided diagnosis (CAD) method for brain tumor segmentation is essential to enhance diagnostic accuracy and therapeutic outcomes, particularly in regions with uneven healthcare resource di...
Diagnosis, Computer-Assisted Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Algorithms Magnetic Resonance Imaging Neural Networks, Computer Brain Neoplasms
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Enhancing pancreatic cancer detection in CT images through secretary wolf bird optimization and deep learning.

Scientific reports Jun 5, 2025
The pancreas is a gland in the abdomen that helps to produce hormones and digest food. The irregular development of tissues in the pancreas is termed as pancreatic cancer. Identification of pancreatic tumors early is significant for enhancing surviva...
Image Processing, Computer-Assisted Pancreatic Neoplasms Algorithms Tomography, X-Ray Computed Humans Deep Learning
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GNNs surpass transformers in tumor medical image segmentation.

Scientific reports Jun 5, 2025
To assess the suitability of Transformer-based architectures for medical image segmentation and investigate the potential advantages of Graph Neural Networks (GNNs) in this domain. We analyze the limitations of the Transformer, which models medical i...
Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity.

PloS one Jun 5, 2025
This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
Neural Networks, Computer Algorithms Humans Multimedia Video Recording Deep Learning Signal-To-Noise Ratio Computer Security Image Processing, Computer-Assisted
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Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference.

Proceedings of the National Academy of Sciences of the United States of America Jun 4, 2025
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures two-dimensional snapshots of biomolecular ensembles, giving in principle access to thermodynamics. How...
Neural Networks, Computer Computer Simulation Bayes Theorem Molecular Conformation Cryoelectron Microscopy Image Processing, Computer-Assisted Models, Molecular Deep Learning
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Machine reading and recovery of colors for hemoglobin-related bioassays and bioimaging.

Science advances Jun 4, 2025
Despite advances in machine learning and computer vision for biomedical imaging, machine reading and learning of colors remain underexplored. Color consistency in computer vision, color constancy in human perception, and color accuracy in biomedical ...
Neural Networks, Computer Hemoglobins Machine Learning Color Image Processing, Computer-Assisted Humans Biological Assay Colorimetry Algorithms
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Advancing prenatal healthcare by explainable AI enhanced fetal ultrasound image segmentation using U-Net++ with attention mechanisms.

Scientific reports Jun 4, 2025
Prenatal healthcare development requires accurate automated techniques for fetal ultrasound image segmentation. This approach allows standardized evaluation of fetal development by minimizing time-exhaustive processes that perform poorly due to human...
Image Processing, Computer-Assisted Fetus Humans Ultrasonography, Prenatal Artificial Intelligence Prenatal Care Algorithms Pregnancy Female
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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications.

Scientific reports Jun 4, 2025
Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (...
Phantoms, Imaging Gold Metal Nanoparticles Tomography, X-Ray Computed Animals Image Processing, Computer-Assisted Mice Deep Learning Neural Networks, Computer
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Digital removal of dermal denticle layer using geometric AI from 3D CT scans of shark craniofacial structures enhances anatomical precision.

Scientific reports Jun 4, 2025
Craniofacial morphometrics in sharks provide crucial insights into evolutionary history, geographical variation, sexual dimorphism, and developmental patterns. However, the fragile cartilaginous nature of shark craniofacial skeleton poses significant...
Artificial Intelligence Software Female Animals Male Algorithms Tomography, X-Ray Computed Skull Sharks Imaging, Three-Dimensional Image Processing, Computer-Assisted
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