Essays about: "binary classification"

Showing result 1 - 5 of 146 essays containing the words binary classification.

  1. 1. Comparing Weak and Strong Annotation Strategies for Multiple Instance Learning in Digital Pathology

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Alice Ciallella; [2022]
    Keywords : Multiple-Instance Learning MIL ; prostate cancer; bag creation; digital pathology; binary classification; multiclass classification;

    Abstract : Prostate cancer is the second most diagnosed cancer worldwide and its diagnosis is done through visual inspection of biopsy tissue by a pathologist, who assigns a score used by doctors to decide on the treatment. However, the scoring system, the Gleason score, is affected by a high inter and intra-observer variability, lack of standardization, and overestimation. READ MORE

  2. 2. Detecting gastrointestinal abnormalities with binary classification of the Kvasir-Capsule dataset : A TensorFlow deep learning study

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Mathias Hollstensson; [2022]
    Keywords : TensorFlow; Image classification; Transfer learning; Binary classification; Data augmentation; Video capsule endoscopy; Kvasir-Capsule.;

    Abstract : The early discovery of gastrointestinal (GI) disorders can significantly decrease the fatality rate of severe afflictions. Video capsule endoscopy (VCE) is a technique that produces an eight hour long recording of the GI tract that needs to be manually reviewed. READ MORE

  3. 3. Early Warning System of Students Failing a Course : A Binary Classification Modelling Approach at Upper Secondary School Level

    University essay from KTH/Lärande

    Author : Niklas Karlsson; Albin Lundell; [2022]
    Keywords : Machine learning; Random Forest; Early Warning System; Drop out; Algorithm; Binary classification model; Upper secondary school; Maskininlärning; Random Forest; Förebyggande Varningssystem; Algoritm; Binär klassificeringsmodell; Gymnasieskola;

    Abstract : Only 70% of the Swedish students graduate from upper secondary school within the given time frame. Earlier research has shown that unfinished degrees disadvantage the individual student, policy makers and society. A first step for preventing dropouts is to indicate students about to fail courses. READ MORE

  4. 4. Imputing connections of random gene networks from time series data using ANNs

    University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik; Lunds universitet/Beräkningsbiologi och biologisk fysik; Lunds universitet/Fysiska institutionen; Lunds universitet/Institutionen för teoretisk fysik

    Author : Sofia Andersson; [2022]
    Keywords : artificial neural networks; ANNs; gene regulatory networks; GRNs; imputation; gene regulatory network imputation; GRN imputation; CNNs; convolutional neural network; randomly generated networks; ternary classification; binary classification; network inference; Physics and Astronomy;

    Abstract : This thesis presents the architecture of a convolutional neural network which is trained to impute the connections of randomly generated gene regulatory networks under varying amounts of regularisation. The generated gene networks are simulated from 10 different starting conditions for each set of connections in order to obtain multiple time series. READ MORE

  5. 5. Combining Register Data and X-Ray Images for a Precision Medicine Prediction Model of Thigh Bone Fractures

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Alva Nilsson; Oliver Andlid; [2022]
    Keywords : AI; Machine Learning; Fusion; Classification; X-Ray Images; Register Data; EHR; Femoral Fractures; AFF; NFF; Transfer Learning;

    Abstract : The purpose of this master thesis was to investigate if using both X-ray images and patient's register data could increase the performance of a neural network in discrimination of two types of fractures in the thigh bone, called atypical femoral fractures (AFF) and normal femoral fractures (NFF). We also examined and evaluated how the fusion of the two data types could be done and how different types of fusion affect the performance. READ MORE