AIMC Journal:
Medical image analysis

Showing 211 to 220 of 684 articles

Transformer guided progressive fusion network for 3D pancreas and pancreatic mass segmentation.

Medical image analysis Mar 31, 2023
Pancreatic masses are diverse in type, often making their clinical management challenging. This study aims to address the task of various types of pancreatic mass segmentation and detection while accurately segmenting the pancreas. Although convoluti...
Imaging, Three-Dimensional Neural Networks, Computer Pancreas Image Processing, Computer-Assisted Humans
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Hyper-convolutions via implicit kernels for medical image analysis.

Medical image analysis Mar 16, 2023
The convolutional neural network (CNN) is one of the most commonly used architectures for computer vision tasks. The key building block of a CNN is the convolutional kernel that aggregates information from the pixel neighborhood and shares weights ac...
Neural Networks, Computer Algorithms Humans
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Weakly supervised histopathology image segmentation with self-attention.

Medical image analysis Mar 11, 2023
Accurate segmentation in histopathology images at pixel-level plays a critical role in the digital pathology workflow. The development of weakly supervised methods for histopathology image segmentation liberates pathologists from time-consuming and l...
Workflow Image Processing, Computer-Assisted Supervised Machine Learning Humans
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Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark.

Medical image analysis Feb 21, 2023
PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-autonomous robot...
Benchmarking Workflow Artificial Intelligence Algorithms Machine Learning Humans
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CNTSeg: A multimodal deep-learning-based network for cranial nerves tract segmentation.

Medical image analysis Feb 10, 2023
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and course of individual CNs. Tractography-based approaches can describe and...
Humans Optic Nerve Cranial Nerves Image Processing, Computer-Assisted Deep Learning Diffusion Magnetic Resonance Imaging Diffusion Tensor Imaging
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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives.

Medical image analysis Jan 31, 2023
Transformer, one of the latest technological advances of deep learning, has gained prevalence in natural language processing or computer vision. Since medical imaging bear some resemblance to computer vision, it is natural to inquire about the status...
Humans Neural Networks, Computer Diagnostic Imaging
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Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.

Medical image analysis Jan 23, 2023
Diffusion MRI tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections. White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts. It enable...
Infant, Newborn Humans Diffusion Tensor Imaging Brain Image Processing, Computer-Assisted Deep Learning Cloud Computing White Matter
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Computing personalized brain functional networks from fMRI using self-supervised deep learning.

Medical image analysis Jan 21, 2023
A novel self-supervised deep learning (DL) method is developed to compute personalized brain functional networks (FNs) for characterizing brain functional neuroanatomy based on functional MRI (fMRI). Specifically, a DL model of convolutional neural n...
Connectome Neural Networks, Computer Magnetic Resonance Imaging Humans Deep Learning Brain
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FUN-SIS: A Fully UNsupervised approach for Surgical Instrument Segmentation.

Medical image analysis Jan 20, 2023
Automatic surgical instrument segmentation of endoscopic images is a crucial building block of many computer-assistance applications for minimally invasive surgery. So far, state-of-the-art approaches completely rely on the availability of a ground-t...
Endoscopy Humans Surgical Instruments Image Processing, Computer-Assisted Robotics
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Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat).

Medical image analysis Jan 19, 2023
Diffusion MRI is a useful neuroimaging tool for non-invasive mapping of human brain microstructure and structural connections. The analysis of diffusion MRI data often requires brain segmentation, including volumetric segmentation and cerebral cortic...
Deep Learning Diffusion Magnetic Resonance Imaging Data Analysis Magnetic Resonance Imaging Humans Aged Image Processing, Computer-Assisted
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