Essays about: "Receiver operating characteristic ROC"

Showing result 1 - 5 of 17 essays containing the words Receiver operating characteristic ROC.

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. 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

4. 3. 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

5. 4. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

   University essay from Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Author : Tian Wang; [2020-09-01]
   Keywords : mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

   Abstract : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. READ MORE

6. 5. Detection of Archaeological Sites from Aerial Imagery using Deep Learning

   University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

   Author : Jorge Lazo; [2019]
   Keywords : Deep Learning; Archaeology; Computer Vision; Aerial Imagery; Transfer Learning.; Physics and Astronomy;

   Abstract : In recent years, Deep Learning has proven to be an outstanding tool in the field of computer vision showing promising results in different fields such as the analysis of medical images, obstacle detection for self-driving cars, automatic image caption generation, etc. In the case of Archaeology, the adoption of these methods in the detection of archaeological structures from aerial images has been slower than in other fields. READ MORE