AIMC Journal:
Medical image analysis

Showing 341 to 350 of 684 articles

Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound.

Medical image analysis Jun 22, 2021
Segmentation of ovary and follicles from 3D ultrasound (US) is the crucial technique of measurement tools for female infertility diagnosis. Since manual segmentation is time-consuming and operator-dependent, an accurate and fast segmentation method i...
Humans Female Ultrasonography Benchmarking Supervised Machine Learning Ovary Uncertainty
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SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images.

Medical image analysis Jun 21, 2021
The detection of nuclei and cells in histology images is of great value in both clinical practice and pathological studies. However, multiple reasons such as morphological variations of nuclei or cells make it a challenging task where conventional ob...
Neural Networks, Computer Image Processing, Computer-Assisted Cell Nucleus Histological Techniques
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Autoencoder based self-supervised test-time adaptation for medical image analysis.

Medical image analysis Jun 19, 2021
Deep neural networks have been successfully applied to medical image analysis tasks like segmentation and synthesis. However, even if a network is trained on a large dataset from the source domain, its performance on unseen test domains is not guaran...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, Optical Coherence Retina
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Adversarial attack vulnerability of medical image analysis systems: Unexplored factors.

Medical image analysis Jun 18, 2021
Adversarial attacks are considered a potentially serious security threat for machine learning systems. Medical image analysis (MedIA) systems have recently been argued to be vulnerable to adversarial attacks due to strong financial incentives and the...
Humans Neural Networks, Computer Machine Learning
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Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.

Medical image analysis Jun 17, 2021
Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomography (CT) images, plays a pivot role in auxiliary diagnoses, treatments and postoperative assessments of cardiovascular diseases. However, training a we...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Attention
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A column-based deep learning method for the detection and quantification of atrophy associated with AMD in OCT scans.

Medical image analysis Jun 12, 2021
The objective quantification of retinal atrophy associated with age-related macular degeneration (AMD) is required for clinical diagnosis, follow-up, treatment efficacy evaluation, and clinical research. Spectral Domain Optical Coherence Tomography (...
Humans Deep Learning Tomography, Optical Coherence Macular Degeneration Macula Lutea Atrophy
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Deep probabilistic tracking of particles in fluorescence microscopy images.

Medical image analysis Jun 8, 2021
Tracking of particles in temporal fluorescence microscopy image sequences is of fundamental importance to quantify dynamic processes of intracellular structures as well as virus structures. We introduce a probabilistic deep learning approach for fluo...
Humans Neural Networks, Computer Algorithms Reproducibility of Results Bayes Theorem Microscopy, Fluorescence
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Deep learning for chest X-ray analysis: A survey.

Medical image analysis Jun 5, 2021
Recent advances in deep learning have led to a promising performance in many medical image analysis tasks. As the most commonly performed radiological exam, chest radiographs are a particularly important modality for which a variety of applications h...
Humans Deep Learning Radiography X-Rays
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Recursive Deep Prior Video: A super resolution algorithm for time-lapse microscopy of organ-on-chip experiments.

Medical image analysis Jun 4, 2021
Biological experiments based on organ-on-chips (OOCs) exploit light Time-Lapse Microscopy (TLM) for a direct observation of cell movement that is an observable signature of underlying biological processes. A high spatial resolution is essential to ca...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Microscopy Time-Lapse Imaging
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SSMD: Semi-Supervised medical image detection with adaptive consistency and heterogeneous perturbation.

Medical image analysis Jun 3, 2021
Semi-Supervised classification and segmentation methods have been widely investigated in medical image analysis. Both approaches can improve the performance of fully-supervised methods with additional unlabeled data. However, as a fundamental task, s...
Humans Algorithms Supervised Machine Learning
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