Essays about: "Tumor Classification"

Showing result 6 - 10 of 25 essays containing the words Tumor Classification.

  1. 6. 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

  3. 7. Identification and network analysis of candidate microRNA biomarkers in neuroblastoma : A meta-analysis

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Andreas Svensson; [2022]
    Keywords : ;

    Abstract : Neuroblastoma constitutes roughly 8% of all childhood cancers where 95% of all neuroblastoma cases occur before the age of 10. The survival rate of infants and young children is very poor, which alone contributes to research novel biomarkers for classification methods, improved diagnosis and better anti-tumor therapies. READ MORE

  4. 8. Brain Tumor Grade Classification in MR images using Deep Learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Eleftheria Chatzitheodoridou; [2022]
    Keywords : brain tumor; glioma; magnetic resonance imaging; deep learning; brain tumor grade classification; convolutional neural network; transfer learning; explainability; multi-class classification;

    Abstract : Brain tumors represent a diverse spectrum of cancer types which can induce grave complications and lead to poor life expectancy. Amongst the various brain tumor types, gliomas are primary brain tumors that compose about 30% of adult brain tumors. READ MORE

  5. 9. Classification of brain tumors in weakly annotated histopathology images with deep learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Dávid Hrabovszki; [2021]
    Keywords : medical imaging; deep learning; glioblastoma; tcga; brain tumor; weakly supervised; histopathology; digital pathology; histology;

    Abstract : Brain and nervous system tumors were responsible for around 250,000 deaths in 2020 worldwide. Correctly identifying different tumors is very important, because treatment options largely depend on the diagnosis. READ MORE

  6. 10. Ensemble Learning Applied to Classification of Malignant and Benign Breast Cancer

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

    Author : Pierre Segerström; Felix Boltshauser; [2021]
    Keywords : ;

    Abstract : In this study, we show how ensemble learning can be useful for the future of breast cancer diagnosis. The chosen ensemble learning method was bagging, which made use of the classifiers Support Vector Machine (SVM), Decision Tree (DT) and Naive Bayes (NB) in order to classify mammograms as benign or malignant. READ MORE