Sterapp: Semiautomatic software for stereological analysis. application in the estimation of fish fecundity

Autor: Arno Formella, Manuel Fernández-Delgado, E. Cernadas, Rosario Domínguez-Petit, Andrés Villaverde, Sonia Rábade-Uberos, Almoutaz Mbaidin, María Encarnación Gónzalez-Rufino
Přispěvatelé: Universidade de Santiago de Compostela. Centro de Investigación en Tecnoloxías da Información, Universidade de Santiago de Compostela. Departamento de Electrónica e Computación
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Support vector machine
TK7800-8360
Computer Networks and Communications
Computer science
analysis
fecundity
Stereology
utilization
02 engineering and technology
Weibel grid
03 medical and health sciences
Marine research
Software
Centro Oceanográfico de Vigo
0202 electrical engineering
electronic engineering
information engineering

2214.02 Metrología
Pesquerías
Electrical and Electronic Engineering
approximation
030304 developmental biology
Estimation
2401.19 Zoología Marina
fish
0303 health sciences
Image segmentation
Software engineering
business.industry
Pattern recognition
Fecundity
3304.05 Sistemas de Reconocimiento de Caracteres
Classification
Fecundity methods
Recognition
Texture analysis
Hardware and Architecture
Control and Systems Engineering
Signal Processing
Oocytes
Fish
020201 artificial intelligence & image processing
Artificial intelligence
Electronics
business
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
Investigo. Repositorio Institucional de la Universidade de Vigo
Universidade de Vigo (UVigo)
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Electronics
Volume 10
Issue 12
e-IEO. Repositorio Institucional Digital de Acceso Abierto del Instituto Español de Oceanografía
Electronics, Vol 10, Iss 1432, p 1432 (2021)
Minerva: Repositorio Institucional de la Universidad de Santiago de Compostela
Universidad de Santiago de Compostela (USC)
Popis: 15 pages, 3 tables, 7 figures.-- This is an open access article distributed under the Creative Commons Attribution License
Stereology is the tridimensional interpretation of bidimensional sections of a structure, widely used in fields such as mineralogy, medicine, and biology. This paper proposes a general software to do stereological analysis, called STERapp, with a friendly graphical interface to enable expert supervision. It includes a module to estimate fish fecundity (number of mature oocytes in the ovary), which has been used by experts in fish biology in two Spanish marine research centers since 2020 to estimate the fecundity of five fish species with different reproductive strategies and oocytes characteristics. This module encloses advanced computer vision and machine learning techniques to automatically recognize and classify the cells in histological images of fish gonads. The automatic recognition algorithm achieved a sensitivity of 55.6%, a specificity of 64.8%, and an average precision of 43.1%. The accuracies achieved for oocyte classification were 84.5% for the maturity stages and 78.5% for the classification regarding presence/absence of the nucleus. This facilitates the analysis and saves experts’ time. Hence, the SUS questionnaire reported a mean score of 81.9, which means that the system was perceived from good to excellent to develop stereological analysis for the estimation of fish fecundity
Databáze: OpenAIRE