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Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review
Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …
The sloan digital sky survey quasar catalog: Sixteenth data release
BW Lyke, AN Higley, JN McLane… - The Astrophysical …, 2020 - iopscience.iop.org
We present the final Sloan Digital Sky Survey IV (SDSS-IV) quasar catalog from Data
Release 16 of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). This catalog …
Release 16 of the extended Baryon Oscillation Spectroscopic Survey (eBOSS). This catalog …
An automatic learning-based framework for robust nucleus segmentation
Computer-aided image analysis of histopathology specimens could potentially provide
support for early detection and improved characterization of diseases such as brain tumor …
support for early detection and improved characterization of diseases such as brain tumor …
Auto-context convolutional neural network (auto-net) for brain extraction in magnetic resonance imaging
Brain extraction or whole brain segmentation is an important first step in many of the
neuroimage analysis pipelines. The accuracy and the robustness of brain extraction …
neuroimage analysis pipelines. The accuracy and the robustness of brain extraction …
Improved automatic detection and segmentation of cell nuclei in histopathology images
Y Al-Kofahi, W Lassoued, W Lee… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Automatic segmentation of cell nuclei is an essential step in image cytometry and histometry.
Despite substantial progress, there is a need to improve accuracy, speed, level of …
Despite substantial progress, there is a need to improve accuracy, speed, level of …
High-throughput telomere length quantification by FISH and its application to human population studies
A major limitation of studies of the relevance of telomere length to cancer and age-related
diseases in human populations and to the development of telomere-based therapies has …
diseases in human populations and to the development of telomere-based therapies has …
Bias‐free Measurement of Giant Molecular Cloud Properties
E Rosolowsky, A Leroy - … of the Astronomical Society of the …, 2006 - iopscience.iop.org
We review methods for measuring the sizes, line widths, and luminosities of giant molecular
clouds (GMCs) in molecular‐line data cubes with low resolution and sensitivity. We find that …
clouds (GMCs) in molecular‐line data cubes with low resolution and sensitivity. We find that …
Bioimage informatics: a new area of engineering biology
H Peng - Bioinformatics, 2008 - academic.oup.com
In recent years, the deluge of complicated molecular and cellular microscopic images
creates compelling challenges for the image computing community. There has been an …
creates compelling challenges for the image computing community. There has been an …
DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data
The scale of biological microscopy has increased dramatically over the past ten years, with
the development of new modalities supporting collection of high-resolution fluorescence …
the development of new modalities supporting collection of high-resolution fluorescence …