AIMC Topic: Image Processing, Computer-Assisted

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HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization.

IEEE transactions on medical imaging Apr 3, 2025
Tissue semantic segmentation is one of the key tasks in computational pathology. To avoid the expensive and laborious acquisition of pixel-level annotations, a wide range of studies attempt to adopt the class activation map (CAM), a weakly-supervised...
Image Processing, Computer-Assisted Supervised Machine Learning Humans Algorithms Databases, Factual
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MT-CooL: Multi-Task Cooperative Learning via Flat Minima Searching.

IEEE transactions on medical imaging Apr 3, 2025
While multi-task learning (MTL) has been widely developed for natural image analysis, its potential for enhancing performance in medical imaging remains relatively unexplored. Most methods formulate MTL as a multi-objective problem, inherently forcin...
Databases, Factual Image Processing, Computer-Assisted Machine Learning Algorithms Humans
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POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation.

IEEE transactions on medical imaging Apr 3, 2025
Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the prevalent practice of employing additional CT scans for generating attenuation maps ( -map) for PET attenuation correction significantly elevates radia...
Brain Image Processing, Computer-Assisted Positron-Emission Tomography Humans Neural Networks, Computer Algorithms
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Adaptive Dual-Axis Style-Based Recalibration Network With Class-Wise Statistics Loss for Imbalanced Medical Image Classification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 3, 2025
Salient and small lesions (e.g., microaneurysms on fundus) both play significant roles in real-world disease diagnosis under medical image examinations. Although deep neural networks (DNNs) have achieved promising medical image classification perform...
Diagnostic Imaging Image Interpretation, Computer-Assisted Calibration Algorithms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Automated segmentation of the dorsal root ganglia in MRI.

NeuroImage Apr 2, 2025
The dorsal root ganglion (DRG) contains all primary sensory neurons, but its functional role in somatosensory and pain processing remains unclear. Recently, MR imaging techniques have been developed for objective in vivo observation of the DRG. In pa...
Male Middle Aged Deep Learning Female Adult Ganglia, Spinal Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network.

Scientific reports Apr 2, 2025
Strawberry grading by picking robots can eliminate the manual classification, reducing labor costs and minimizing the damage to the fruit. Strawberry size or weight is a key factor in grading, with accurate weight estimation being crucial for proper ...
Fragaria Robotics Fruit Algorithms Image Processing, Computer-Assisted
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Hybrid deep learning model for density and growth rate estimation on weed image dataset.

Scientific reports Apr 2, 2025
Agriculture research is particularly essential since crop production is a challenge for farmers in India and around the world. 37% of the crop is impacted by invasive plants (weeds). Those unwelcome plants that interbreed with cultivated crops and de...
Deep Learning India Agriculture Plant Leaves Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Plant Weeds Crops, Agricultural
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Leveraging Physics-Based Synthetic MR Images and Deep Transfer Learning for Artifact Reduction in Echo-Planar Imaging.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGOUND AND PURPOSE: This study utilizes a physics-based approach to synthesize realistic MR artifacts and train a deep learning generative adversarial network (GAN) for use in artifact reduction on EPI, a crucial neuroimaging sequence with high ac...
Male Middle Aged Deep Learning Female Brain Neoplasms Artifacts Echo-Planar Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain
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Comprehensive Segmentation of Gray Matter Structures on T1-Weighted Brain MRI: A Comparative Study of Convolutional Neural Network, Convolutional Neural Network Hybrid-Transformer or -Mamba Architectures.

AJNR. American journal of neuroradiology Apr 2, 2025
BACKGROUND AND PURPOSE: Recent advances in deep learning have shown promising results in medical image analysis and segmentation. However, most brain MRI segmentation models are limited by the size of their data sets and/or the number of structures t...
Humans Alzheimer Disease Gray Matter Middle Aged Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Convolutional Neural Networks Female Aged Male Neural Networks, Computer Brain
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M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis.

Medical image analysis Apr 1, 2025
Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysis in computational pathology, enabling a wide range of prediction tasks from tumor subtyping to inferring genetic mutations and multi-omics biomarkers...
Humans Neural Networks, Computer Machine Learning Mutation Image Interpretation, Computer-Assisted Multiple-Instance Learning Algorithms Neoplasms Image Processing, Computer-Assisted Algorithms
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