AIMC Journal:
Medical image analysis

Showing 621 to 630 of 699 articles

Deep learning in mammography and breast histology, an overview and future trends.

Medical image analysis Mar 26, 2018
Recent improvements in biomedical image analysis using deep learning based neural networks could be exploited to enhance the performance of Computer Aided Diagnosis (CAD) systems. Considering the importance of breast cancer worldwide and the promisin...
Mammography Radiographic Image Interpretation, Computer-Assisted Breast Neoplasms Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms Forecasting Deep Learning Phenotype Female Sensitivity and Specificity Humans
View on PubMed DOI

A deep learning approach for pose estimation from volumetric OCT data.

Medical image analysis Mar 10, 2018
Tracking the pose of instruments is a central problem in image-guided surgery. For microscopic scenarios, optical coherence tomography (OCT) is increasingly used as an imaging modality. OCT is suitable for accurate pose estimation due to its micromet...
Humans Image Processing, Computer-Assisted Algorithms Robotics Tomography, Optical Coherence Deep Learning Imaging, Three-Dimensional
View on PubMed DOI

Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Medical image analysis Feb 27, 2018
Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of PVS morphology. However, since PVSs are the thin tubular structures with relatively low contrast and also the number of PVSs is often large, it is chal...
Magnetic Resonance Imaging Reproducibility of Results Humans Sensitivity and Specificity Pattern Recognition, Automated Lymphatic System Imaging, Three-Dimensional Image Enhancement Neural Networks, Computer Algorithms Brain
View on PubMed DOI

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.

Medical image analysis Feb 21, 2018
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases with a commonly seen prodromal mild cognitive impairment (MCI) phase where memory loss is the main complaint progressively worsening with behavior issues and poor self-care...
Early Diagnosis Fluorodeoxyglucose F18 Radiopharmaceuticals Alzheimer Disease Positron-Emission Tomography Female Aged Male Humans Neural Networks, Computer
View on PubMed DOI

Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.

Medical image analysis Feb 21, 2018
Methods for aligning 3D fetal neurosonography images must be robust to (i) intensity variations, (ii) anatomical and age-specific differences within the fetal population, and (iii) the variations in fetal position. To this end, we propose a multi-tas...
Ultrasonography, Prenatal Imaging, Three-Dimensional Image Processing, Computer-Assisted Pregnancy Female Adult Neuroimaging Gestational Age Humans Neural Networks, Computer Algorithms Brain
View on PubMed DOI

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.

Medical image analysis Feb 1, 2018
Accurate and automatic organ segmentation from 3D radiological scans is an important yet challenging problem for medical image analysis. Specifically, as a small, soft, and flexible abdominal organ, the pancreas demonstrates very high inter-patient a...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Humans Automation Deep Learning Imaging, Three-Dimensional Pancreas Image Processing, Computer-Assisted
View on PubMed DOI

DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks.

Medical image analysis Jan 31, 2018
Mitotic count is a critical predictor of tumor aggressiveness in the breast cancer diagnosis. Nowadays mitosis counting is mainly performed by pathologists manually, which is extremely arduous and time-consuming. In this paper, we propose an accurate...
Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Mitosis Humans Algorithms
View on PubMed DOI

Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.

Medical image analysis Dec 20, 2017
Machine learning systems are achieving better performances at the cost of becoming increasingly complex. However, because of that, they become less interpretable, which may cause some distrust by the end-user of the system. This is especially importa...
Magnetic Resonance Imaging Stroke Image Interpretation, Computer-Assisted Humans Reproducibility of Results Machine Learning Sensitivity and Specificity Algorithms Brain Neoplasms
View on PubMed DOI

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.

Medical image analysis Dec 6, 2017
During the last two decades, MRI has been increasingly used for providing valuable quantitative information about spinal cord morphometry, such as quantification of the spinal cord atrophy in various diseases. However, despite the significant improve...
Image Processing, Computer-Assisted Algorithms Humans Magnetic Resonance Imaging Reproducibility of Results Machine Learning Spinal Cord Sensitivity and Specificity
View on PubMed DOI

Learning non-linear patch embeddings with neural networks for label fusion.

Medical image analysis Dec 2, 2017
In brain structural segmentation, multi-atlas strategies are increasingly being used over single-atlas strategies because of their ability to fit a wider anatomical variability. Patch-based label fusion (PBLF) is a type of such multi-atlas approaches...
Hippocampus Brain Mapping Alzheimer Disease Image Interpretation, Computer-Assisted Aged, 80 and over Middle Aged Magnetic Resonance Imaging Humans Neural Networks, Computer Aged
View on PubMed DOI
Popular Topics
Popular Journals