RA-UNet: an intelligent fish phenotype segmentation method based on ResNet50 and atrous spatial pyramid pooling

RA-UNet: an intelligent fish phenotype segmentation method based on ResNet50 and atrous spatial pyramid pooling

Introduction: Changes in fish phenotypes during aquaculture must be monitored to improve the quality of fishery resources. Therefore, a method for segmenting and measuring phenotypes rapidly and accurately without harming the fish is essential. This study proposes an intelligent fish phenotype segme...

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Bibliographic Details
Main Authors:	Jianyuan Li, Chunna Liu, Zuobin Yang, Xiaochun Lu, Bilang Wu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-09-01
Series:	Frontiers in Environmental Science
Subjects:	fish phenotypic segmentation RA-UNet fishery resources Resnet50 ASPP
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2023.1201942/full

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