Genetic Neural Architecture Search for automatic assessment of human sperm images
作者：
Highlights：
• A novel neural architecture search based on Genetic Algorithm.
• A novel neural architecture encoding for exploration of search space.
• A specific Crossover and Mutation operations for neural architecture search.
• Work on imbalanced datasets, low resolution images, and non-stained sperms.
• State-of-the-art accuracy & Real-time sperm morphological analysis.
摘要
•A novel neural architecture search based on Genetic Algorithm.•A novel neural architecture encoding for exploration of search space.•A specific Crossover and Mutation operations for neural architecture search.•Work on imbalanced datasets, low resolution images, and non-stained sperms.•State-of-the-art accuracy & Real-time sperm morphological analysis.
论文关键词：Human sperm morphometry,Infertility,Genetic algorithm,Deep learning,Neural architecture search
论文评审过程：Received 27 February 2020, Revised 5 September 2021, Accepted 17 September 2021, Available online 30 September 2021, Version of Record 14 October 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115937
