AIMC Journal:
Medical image analysis

Showing 351 to 360 of 684 articles

Searching collaborative agents for multi-plane localization in 3D ultrasound.

Medical image analysis May 31, 2021
3D ultrasound (US) has become prevalent due to its rich spatial and diagnostic information not contained in 2D US. Moreover, 3D US can contain multiple standard planes (SPs) in one shot. Thus, automatically localizing SPs in 3D US has the potential t...
Ultrasonography Female Uterus Imaging, Three-Dimensional Humans Neural Networks, Computer
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Spatially Constrained Context-Aware Hierarchical Deep Correlation Filters for Nucleus Detection in Histology Images.

Medical image analysis May 24, 2021
Nucleus detection in histology images is a fundamental step for cellular-level analysis in computational pathology. In clinical practice, quantitative nuclear morphology can be used for diagnostic decision making, prognostic stratification, and treat...
Algorithms Humans Neural Networks, Computer Histological Techniques Prognosis Cell Nucleus
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Conditional generation of medical images via disentangled adversarial inference.

Medical image analysis May 24, 2021
Synthetic medical image generation has a huge potential for improving healthcare through many applications, from data augmentation for training machine learning systems to preserving patient privacy. Conditional Adversarial Generative Networks (cGANs...
Image Processing, Computer-Assisted Humans Machine Learning
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MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning.

Medical image analysis May 18, 2021
Segmentation of organs or lesions from medical images plays an essential role in many clinical applications such as diagnosis and treatment planning. Though Convolutional Neural Networks (CNN) have achieved the state-of-the-art performance for automa...
Image Processing, Computer-Assisted Neural Networks, Computer Imaging, Three-Dimensional Humans Deep Learning
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A deep learning-based framework for segmenting invisible clinical target volumes with estimated uncertainties for post-operative prostate cancer radiotherapy.

Medical image analysis May 17, 2021
In post-operative radiotherapy for prostate cancer, precisely contouring the clinical target volume (CTV) to be irradiated is challenging, because the cancerous prostate gland has been surgically removed, so the CTV encompasses the microscopic spread...
Radiotherapy Planning, Computer-Assisted Uncertainty Deep Learning Prostatic Neoplasms Male Tomography, X-Ray Computed Humans
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Adaptive convolutional neural networks for accelerating magnetic resonance imaging via k-space data interpolation.

Medical image analysis May 16, 2021
Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI). However, existing deep learning-based image reconstruction methods typically apply weight-shar...
Spatial Analysis Magnetic Resonance Imaging Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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A CNN-based unified framework utilizing projection loss in unison with label noise handling for multiple Myeloma cancer diagnosis.

Medical image analysis May 13, 2021
Multiple Myeloma (MM) is a malignancy of plasma cells. Similar to other forms of cancer, it demands prompt diagnosis for reducing the risk of mortality. The conventional diagnostic tools are resource-intense and hence, these solutions are not easily ...
Neural Networks, Computer Diagnosis, Computer-Assisted Humans Diagnostic Imaging Deep Learning Multiple Myeloma
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Soft and self constrained clustering for group-based labeling.

Medical image analysis May 12, 2021
When using deep neural networks in medical image classification tasks, it is mandatory to prepare a large-scale labeled image set, and this often requires significant effort by medical experts. One strategy to reduce the labeling cost is group-based ...
Endoscopy Cluster Analysis Neural Networks, Computer Semantics Humans
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Deep learning for predicting COVID-19 malignant progression.

Medical image analysis May 12, 2021
As COVID-19 is highly infectious, many patients can simultaneously flood into hospitals for diagnosis and treatment, which has greatly challenged public medical systems. Treatment priority is often determined by the symptom severity based on first as...
Humans SARS-CoV-2 Deep Learning Tomography, X-Ray Computed COVID-19
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Multimodal super-resolved q-space deep learning.

Medical image analysis Apr 21, 2021
Super-resolvedq-space deep learning (SR-q-DL) has been developed to estimate high-resolution (HR) tissue microstructure maps from low-quality diffusion magnetic resonance imaging (dMRI) scans acquired with a reduced number of diffusion gradients and ...
Neuroimaging Algorithms Deep Learning Humans Diffusion Magnetic Resonance Imaging
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