Ultrasound of Dairy Cows' Udder (Mammary Gland) & Sonogram Echotexture Analysis

This public dataset contains: 1. A folder with B-mode sonograms (3072 in total) of the bovine mammary gland. 2. A .csv file with the daily milk yield on measurement days of the dairy cows participating in this study. 3. A .csv file with the feature set deriving from echotexture analysis of the B-mode sonograms. 4. A "Data_Interpretation" file, explaining how to interpret and use the data. Research Hypothesis: Ultrasonography is being utilized in the examination of dairy animals’ mammary gland for more than three decades. Recently, echotexture analysis has been employed by some researchers to gain deeper information from mammary gland's sonograms and investigate pathological conditions. In our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland" we hypothesized that a deep neural network could utilize features from echotexture analysis of mammary gland sonograms to obtain predictions about the cows’ daily milk yield and production stage. Notable Findings: A deep neural network can utilize features from mammary sonograms’ echotexture analysis to predict a cows’ daily milk yield and production stage. Our research findings are presented in detail in our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland". Data Interpretation: Text file “Data_Interpretation” includes the information needed to interpret and use the data. An extensive description about the data collection methodology is provided in our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland".