Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

MD Hossain, D Chen - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
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 …

Robust nucleus/cell detection and segmentation in digital pathology and microscopy images: a comprehensive review

F **ng, L Yang - IEEE reviews in biomedical engineering, 2016 - ieeexplore.ieee.org
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 …

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 …

An automatic learning-based framework for robust nucleus segmentation

F **ng, Y **e, L Yang - IEEE transactions on medical imaging, 2015 - ieeexplore.ieee.org
Computer-aided image analysis of histopathology specimens could potentially provide
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

SSM Salehi, D Erdogmus… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
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 …

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 …

High-throughput telomere length quantification by FISH and its application to human population studies

A Canela, E Vera, P Klatt, MA Blasco - Proceedings of the National …, 2007 - pnas.org
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 …

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 …

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 …

DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data

KW Dunn, C Fu, DJ Ho, S Lee, S Han, P Salama… - Scientific reports, 2019 - nature.com
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 …