Landmark detection in 2D bioimages for geometric morphometrics: a multi-resolution tree-based approach
نویسندگان
چکیده
منابع مشابه
Automatic Landmark Detection in 2D images : A tree-based approach with multiresolution pixel features
In this paper, we propose a new generic landmark detection method for 2D images. Our solution is based on the use of ensembles of Extremely Randomized Trees combined with simple pixel-based multi-resolution features. We apply our method on a novel dataset of microscopic zebrafish images. This method was also tested on datasets of cephalometric images during the Automatic Cephalometric X-Ray Lan...
متن کاملA new 2D block ordering system for wavelet-based multi-resolution up-scaling
A complete and accurate analysis of the complex spatial structure of heterogeneous hydrocarbon reservoirs requires detailed geological models, i.e. fine resolution models. Due to the high computational cost of simulating such models, single resolution up-scaling techniques are commonly used to reduce the volume of the simulated models at the expense of losing the precision. Several multi-scale ...
متن کاملLandmark and outline-based geometric morphometrics analysis of three Stomoxys flies (Diptera: Muscidae).
Adult flies of the genus Stomoxys Geoffroy, 1762 (Diptera: Muscidae), especially S. pullus Austen, 1909, S. uruma Shinonaga et Kano, 1966 and S. indicus Picard, 1908, are morphologically similar and sometimes difficult to distinguish when using external morphological characteristics. These species may act as vectors and/or potential vectors of many pathogens (virus, bacteria and protozoa). Thei...
متن کاملGeometric Morphometrics
The field of morphometrics is developing quickly and recent advances allow for geometric techniques to be applied easily to many zoological problems. This article briefly introduces geometric morphometric techniques and then reviews selected areas where those techniques have been applied to questions of general interest. This article is relevant to non-specialists looking for an entry into geom...
متن کاملAutomatic Cephalometric X-Ray Landmark Detection Challenge 2014: A machine learning tree-based approach
In this paper, we describe the machine learning approach we used in the context of the Automatic Cephalometric X-Ray Landmark Detection Challenge. Our solution is based on the use of ensembles of Extremely Randomized Trees combined with simple pixel-based multi-resolution features. By carefully tuning method parameters with cross-validation, our approach could reach detection rates ≥ 90% at an ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scientific Reports
سال: 2018
ISSN: 2045-2322
DOI: 10.1038/s41598-017-18993-5