biological techniques; biology computing; cellular biophysics; feature extraction; image classification; image segmentation; image texture; learning (artificial intelligence); microorganisms; optical microscopy; wavelet transforms; S. cerevisiae cell segmentation; Saccharomyces cerevisiae; data analysis module; data normalization schemes; data sampling techniques; feature selection algorithms; image analysis module; logistic classification model; machine learning approach; moment invariant features; pattern recognition system; segmentation system training; wavelet based texture measurements; yeast cell microscope images; yeast cells; Accuracy; Biomedical measurement; Image segmentation; Logistics; Machine learning algorithms; Vegetation;
机译:机器学习方法使用复杂的图像特征来区分酿酒酵母酵母细胞
机译:机器学习方法使用复杂的图像特征来区分酿酒酵母酵母细胞
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机译:机器学习方法使用复杂的图像特征来区分酿酒酵母酵母细胞