AIMC Journal:
IEEE transactions on medical imaging

Showing 461 to 470 of 687 articles

Cytokeratin-Supervised Deep Learning for Automatic Recognition of Epithelial Cells in Breast Cancers Stained for ER, PR, and Ki-67.

IEEE transactions on medical imaging Aug 7, 2019
Immunohistochemistry (IHC) of ER, PR, and Ki-67 are routinely used assays in breast cancer diagnostics. Determination of the proportion of stained cells (labeling index) should be restricted on malignant epithelial cells, carefully avoiding tumor inf...
Receptors, Progesterone Algorithms Keratins Female Ki-67 Antigen Breast Neoplasms Humans Image Interpretation, Computer-Assisted Biomarkers, Tumor Immunohistochemistry Deep Learning Receptors, Estrogen Epithelial Cells
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ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction.

IEEE transactions on medical imaging Aug 5, 2019
Current deep neural network based approaches to computed tomography (CT) metal artifact reduction (MAR) are supervised methods that rely on synthesized metal artifacts for training. However, as synthesized data may not accurately simulate the underly...
Tomography, X-Ray Computed Humans Metals Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Artifacts
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Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

IEEE transactions on medical imaging Jul 23, 2019
We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neoplasms (e.g., pancreatic cyst), from abdominal CT scans. This is a challenging task in two aspects. First, some organs (e.g., the pancreas), are highl...
Pancreatic Neoplasms Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted Databases, Factual Abdomen
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Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks.

IEEE transactions on medical imaging Jul 19, 2019
The Hausdorff Distance (HD) is widely used in evaluating medical image segmentation methods. However, the existing segmentation methods do not attempt to reduce HD directly. In this paper, we present novel loss functions for training convolutional ne...
Prostate Image Processing, Computer-Assisted Liver Diagnostic Imaging Humans Neural Networks, Computer Algorithms Male
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Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.

IEEE transactions on medical imaging Jul 17, 2019
While convolutional neural network (CNN) has been demonstrating powerful ability to learn hierarchical spatial features from medical images, it is still difficult to apply it directly to resting-state functional MRI (rs-fMRI) and the derived brain fu...
Humans Brain Alzheimer Disease Deep Learning Image Interpretation, Computer-Assisted Aged Cognitive Dysfunction Aged, 80 and over Magnetic Resonance Imaging Middle Aged
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Automatic Cataract Classification Using Deep Neural Network With Discrete State Transition.

IEEE transactions on medical imaging Jul 11, 2019
Cataract is the clouding of lens, which affects vision and it is the leading cause of blindness in the world's population. Accurate and convenient cataract detection and cataract severity evaluation will improve the situation. Automatic cataract dete...
Aged, 80 and over Young Adult Adult Middle Aged Cataract Retina Neural Networks, Computer Algorithms Image Interpretation, Computer-Assisted Aged Diagnostic Techniques, Ophthalmological Wavelet Analysis Humans
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3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.

IEEE transactions on medical imaging Jul 11, 2019
Accurate and reliable segmentation of the prostate gland using magnetic resonance (MR) imaging has critical importance for the diagnosis and treatment of prostate diseases, especially prostate cancer. Although many automated segmentation approaches, ...
Male Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Anisotropy Magnetic Resonance Imaging Neural Networks, Computer Prostate Algorithms
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3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks.

IEEE transactions on medical imaging Jul 9, 2019
Digital reconstruction or tracing of 3D neuron is essential for understanding the brain functions. While existing automatic tracing algorithms work well for the clean neuronal image with a single neuron, they are not robust to trace the neuron surrou...
Neurons Microscopy Nerve Fibers Deep Learning Humans Algorithms Imaging, Three-Dimensional Brain Mice Animals
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Vertebrae Identification and Localization Utilizing Fully Convolutional Networks and a Hidden Markov Model.

IEEE transactions on medical imaging Jul 8, 2019
Automated identification and localization of vertebrae in spinal computed tomography (CT) imaging is a complicated hybrid task. This task requires detecting and indexing a long sequence in a 3-D image, and both image feature extraction and sequence m...
Markov Chains Scoliosis Deep Learning Imaging, Three-Dimensional Spine Humans Neural Networks, Computer Tomography, X-Ray Computed
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A Large-Scale Database and a CNN Model for Attention-Based Glaucoma Detection.

IEEE transactions on medical imaging Jul 8, 2019
Glaucoma is one of the leading causes of irreversible vision loss. Many approaches have recently been proposed for automatic glaucoma detection based on fundus images. However, none of the existing approaches can efficiently remove high redundancy in...
Humans Female Aged Adult Neural Networks, Computer Glaucoma Databases, Factual Supervised Machine Learning Image Interpretation, Computer-Assisted Male Middle Aged ROC Curve
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