Essays about: "Receiver Operating Characteristic"

Showing result 1 - 5 of 41 essays containing the words Receiver Operating Characteristic.

  1. 1. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Christoforos Spyretos; [2023]
    Keywords : medical imaging; deep learning; classification; CNN; Vision Transformer; glioblastoma; GBM; IvyGAP; brain tumour; histopathology; digital pathology; histology;

    Abstract : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. READ MORE

  3. 2. Applying the Shadow Rating Approach: A Practical Review

    University essay from KTH/Matematik (Avd.)

    Author : Viktor Barry; Carl Stenfelt; [2023]
    Keywords : Shadow Rating; probability of default; low default portfolio; credit risk; statistical learning; financial regulation; Basel; Pluto and Tasche; Skuggrating; sannolikhet av fallissemang; lågfallissemangsportfölj; kreditrisk; statistisk inlärning; finansiella regelverk; Basel; Pluto och Tasche;

    Abstract : The combination of regulatory pressure and rare but impactful defaults together comprise the domain of low default portfolios, which is a central and complex topic that lacks clear industry standards. A novel approach that utilizes external data to create a Shadow Rating model has been proposed by Ulrich Erlenmaier. READ MORE

  4. 3. Deep Learning-Based Risk Prediction of Atrial Fibrillation Using the 12-lead ECG

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Theogene Habineza; [2022]
    Keywords : ;

    Abstract : Atrial fibrillation is one of the most common cardiac arrhythmias that affects millions of people each year worldwide. As studies have shown, there exists a close link between atrial fibrillation (AF) and increased risk of cardiovascular diseases such as stroke and heartfailure. READ MORE

  5. 4. Pediatric Brain Tumor Type Classification in MR Images Using Deep Learning

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Tamara Bianchessi; [2022]
    Keywords : pediatric brain tumors; MR image analysis; deep learning; classification; model explainability;

    Abstract : Brain tumors present the second highest cause of death among pediatric cancers. About 60% are located in the posterior fossa region of the brain; among the most frequent types the ones considered for this project were astrocytomas, medulloblastomas, and ependymomas. READ MORE

  6. 5. Neonatal Sepsis Detection Using Decision Tree Ensemble Methods: Random Forest and XGBoost

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marwan Al-Bardaji; Nahir Danho; [2022]
    Keywords : Machine Learning; Sepsis; Neonatal Sepsis; Random Forest; XGBoost; Imbalanced Data; Binary Classification; Cross-Validation; Hyperparameter Tuning;

    Abstract : Neonatal sepsis is a potentially fatal medical conditiondue to an infection and is attributed to about 200 000annual deaths globally. With healthcare systems that are facingconstant challenges, there exists a potential for introducingmachine learning models as a diagnostic tool that can beautomatized within existing workflows and would not entail morework for healthcare personnel. READ MORE