AIMC Journal:
Medical image analysis

Showing 521 to 530 of 697 articles

Generative adversarial network in medical imaging: A review.

Medical image analysis Aug 31, 2019
Generative adversarial networks have gained a lot of attention in the computer vision community due to their capability of data generation without explicitly modelling the probability density function. The adversarial loss brought by the discriminato...
Magnetic Resonance Imaging Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted
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Removing segmentation inconsistencies with semi-supervised non-adjacency constraint.

Medical image analysis Aug 31, 2019
The advent of deep learning has pushed medical image analysis to new levels, rapidly replacing more traditional machine learning and computer vision pipelines. However segmenting and labelling anatomical regions remains challenging owing to appearanc...
Humans Tomography, X-Ray Computed Magnetic Resonance Imaging Brain Mapping Supervised Machine Learning Deep Learning Image Processing, Computer-Assisted
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RMDL: Recalibrated multi-instance deep learning for whole slide gastric image classification.

Medical image analysis Aug 30, 2019
The whole slide histopathology images (WSIs) play a critical role in gastric cancer diagnosis. However, due to the large scale of WSIs and various sizes of the abnormal area, how to select informative regions and analyze them are quite challenging du...
Diagnosis, Differential Datasets as Topic Calibration Stomach Neoplasms Deep Learning Staining and Labeling Humans
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Adversarial learning for mono- or multi-modal registration.

Medical image analysis Aug 24, 2019
This paper introduces an unsupervised adversarial similarity network for image registration. Unlike existing deep learning registration methods, our approach can train a deformable registration network without the need of ground-truth deformations an...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Brain Mapping Unsupervised Machine Learning Tomography, X-Ray Computed
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Predicting PET-derived demyelination from multimodal MRI using sketcher-refiner adversarial training for multiple sclerosis.

Medical image analysis Aug 24, 2019
Multiple sclerosis (MS) is the most common demyelinating disease. In MS, demyelination occurs in the white matter of the brain and in the spinal cord. It is thus essential to measure the tissue myelin content to understand the physiopathology of MS, ...
Humans Image Interpretation, Computer-Assisted Positron-Emission Tomography Neural Networks, Computer Anisotropy Multiple Sclerosis Magnetic Resonance Imaging Radiopharmaceuticals Disease Progression
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Learning to detect lymphocytes in immunohistochemistry with deep learning.

Medical image analysis Aug 21, 2019
The immune system is of critical importance in the development of cancer. The evasion of destruction by the immune system is one of the emerging hallmarks of cancer. We have built a dataset of 171,166 manually annotated CD3 and CD8 cells, which we us...
Netherlands Artifacts Datasets as Topic Colonic Neoplasms Lymphocytes Immunohistochemistry Female Breast Neoplasms Deep Learning Prostatic Neoplasms Male Humans
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Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology.

Medical image analysis Aug 21, 2019
Stain variation is a phenomenon observed when distinct pathology laboratories stain tissue slides that exhibit similar but not identical color appearance. Due to this color shift between laboratories, convolutional neural networks (CNNs) trained with...
Hematoxylin Pathology, Clinical Eosine Yellowish-(YS) Neural Networks, Computer Staining and Labeling Humans Color Unsupervised Machine Learning Datasets as Topic
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Accurate automated Cobb angles estimation using multi-view extrapolation net.

Medical image analysis Aug 9, 2019
Accurate automated quantitative Cobb angle estimation that quantitatively evaluates scoliosis plays an important role in scoliosis diagnosis and treatment. It solves the problem of the traditional manual method, which is the current clinical standard...
Deep Learning Child Anatomic Landmarks Humans Image Enhancement Scoliosis Radiographic Image Interpretation, Computer-Assisted Datasets as Topic
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Computer-aided detection and visualization of pulmonary embolism using a novel, compact, and discriminative image representation.

Medical image analysis Aug 6, 2019
Diagnosing pulmonary embolism (PE) and excluding disorders that may clinically and radiologically simulate PE poses a challenging task for both human and machine perception. In this paper, we propose a novel vessel-oriented image representation (VOIR...
Humans Neural Networks, Computer Diagnosis, Computer-Assisted Tomography, X-Ray Computed Imaging, Three-Dimensional Pulmonary Embolism Contrast Media Datasets as Topic
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Automated age estimation from MRI volumes of the hand.

Medical image analysis Jul 31, 2019
Highly relevant for both clinical and legal medicine applications, the established radiological methods for estimating unknown age in children and adolescents are based on visual examination of bone ossification in X-ray images of the hand. Our group...
Magnetic Resonance Imaging Adolescent Humans Datasets as Topic Child Hand Bones Machine Learning Imaging, Three-Dimensional Age Determination by Skeleton
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