ArticleAquaculture (Amsterdam, Netherlands)2022
A practical evaluation of machine learning for classification of ultrasound images of ovarian development in channel catfish
Article in Aquaculture (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Dynamic Changes in Serum Biochemical Indices and Alternative Splicing Events Revealed Molecular Regulatory Mechanisms in Rainbow Trout Under Copper Stress.Marine biotechnology (New York, N.Y.) · 2026Article
- Deep learning classification of reproductive tissue from ultrasound: sex determination in red abalone (Frontiers in artificial intelligence · 2026Article
- Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning.Frontiers in psychology · 2026Article
- Advancing genetic improvement in the omics era: status and priorities for United States aquaculture.BMC genomics · 2025Review
- Article
- Evaluation of industrial and consumer 3-D resin printer fabrication of microdevices for quality management of genetic resources in aquatic species.Micro and nano engineering · 2024Article
- RETRACTED: Gynecological Healthcare: Unveiling Pelvic Masses Classification through Evolutionary Gravitational Neocognitron Neural Network Optimized with Nomadic People Optimizer.Diagnostics (Basel, Switzerland) · 2023Article
- An automated modular open-technology device to measure and adjust concentration of aquatic sperm samples for cryopreservation.SLAS technology · 2023Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Machine learning is a powerful tool to improve efficiency of industrial processes, but it has not yet been well utilized in aquacultural and hatchery applications. The goal of the present study was to evaluate the feasibility of using a broad array of machine learning approaches (testing of > 200 vectorization and model combinations, reporting on 20) to classify ultrasound images spanning annual ovarian development (i.e., from undeveloped to mature) of channel catfish (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.