AIMC Journal:
IEEE transactions on medical imaging

Showing 361 to 370 of 687 articles

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation.

IEEE transactions on medical imaging Mar 2, 2021
Class imbalance poses a challenge for developing unbiased, accurate predictive models. In particular, in image segmentation neural networks may overfit to the foreground samples from small structures, which are often heavily under-represented in the ...
Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual
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MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection.

IEEE transactions on medical imaging Mar 2, 2021
Anomaly detection refers to the identification of cases that do not conform to the expected pattern, which takes a key role in diverse research areas and application domains. Most of existing methods can be summarized as anomaly object detection-base...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Lung Neural Networks, Computer Brain Humans Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Algorithms
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LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images.

IEEE transactions on medical imaging Mar 2, 2021
Forensic odontology is regarded as an important branch of forensics dealing with human identification based on dental identification. This paper proposes a novel method that uses deep convolution neural networks to assist in human identification by a...
Neural Networks, Computer Humans Forensic Anthropology
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Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection.

IEEE transactions on medical imaging Mar 2, 2021
Clusters of viral pneumonia occurrences over a short period may be a harbinger of an outbreak or pandemic. Rapid and accurate detection of viral pneumonia using chest X-rays can be of significant value for large-scale screening and epidemic preventio...
Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Pneumonia, Viral Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans
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Super-Resolution Ultrasound Localization Microscopy Through Deep Learning.

IEEE transactions on medical imaging Mar 2, 2021
Ultrasound localization microscopy has enabled super-resolution vascular imaging through precise localization of individual ultrasound contrast agents (microbubbles) across numerous imaging frames. However, analysis of high-density regions with signi...
Deep Learning Microbubbles Contrast Media Microscopy Ultrasonography
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SMORE: A Self-Supervised Anti-Aliasing and Super-Resolution Algorithm for MRI Using Deep Learning.

IEEE transactions on medical imaging Mar 2, 2021
High resolution magnetic resonance (MR) images are desired in many clinical and research applications. Acquiring such images with high signal-to-noise (SNR), however, can require a long scan duration, which is difficult for patient comfort, is more c...
Magnetic Resonance Imaging Artifacts Deep Learning Humans Algorithms Neural Networks, Computer
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Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation.

IEEE transactions on medical imaging Mar 2, 2021
Magnetic resonance (MR) protocols rely on several sequences to assess pathology and organ status properly. Despite advances in image analysis, we tend to treat each sequence, here termed modality, in isolation. Taking advantage of the common informat...
Heart Supervised Machine Learning Magnetic Resonance Imaging Image Processing, Computer-Assisted
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Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning.

IEEE transactions on medical imaging Feb 3, 2021
One primary technical challenge in photoacoustic microscopy (PAM) is the necessary compromise between spatial resolution and imaging speed. In this study, we propose a novel application of deep learning principles to reconstruct undersampled PAM imag...
Spectrum Analysis Mice Microscopy Animals Image Processing, Computer-Assisted Neural Networks, Computer Deep Learning
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Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer.

IEEE transactions on medical imaging Feb 2, 2021
Pancreatic cancer is a malignant form of cancer with one of the worst prognoses. The poor prognosis and resistance to therapeutic modalities have been linked to TP53 mutation. Pathological examinations, such as biopsies, cannot be frequently performe...
Tumor Suppressor Protein p53 Deep Learning Artificial Intelligence Mutation Pancreatic Neoplasms Humans Algorithms
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2D to 3D Evolutionary Deep Convolutional Neural Networks for Medical Image Segmentation.

IEEE transactions on medical imaging Feb 2, 2021
Developing a Deep Convolutional Neural Network (DCNN) is a challenging task that involves deep learning with significant effort required to configure the network topology. The design of a 3D DCNN not only requires a good complicated structure but als...
Neural Networks, Computer Image Processing, Computer-Assisted Imaging, Three-Dimensional
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