Sökning: "molecular subtype classification"

Visar resultat 1 - 5 av 17 avhandlingar innehållade orden molecular subtype classification.

1. 1. Molecular Classification of Bladder Cancer

   Författare :Gottfrid Sjödahl; Bröstcancer-genetik; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Bladder cancer; Subtype; Classification;

   Sammanfattning : Decisions in the treatment of bladder cancer today are based on clinical and pathological risk variables such as tumor stage and tumor grade. The importance of these conventional risk variables is well documented since more than 10 years, and they are used routinely in the clinics. LÄS MER

3. 2. Deep Learning Methods for Classification of Glioma and its Molecular Subtypes

   Författare :Muhaddisa Barat Ali; Chalmers tekniska högskola; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 1p 19q codeletion; generative adversarial network; convolutional neural network; glioma subtype classification; IDH mutation.; Deep learning; cycleGAN; convolutional autoencoder;

   Sammanfattning : Diagnosis and timely treatment play an important role in preventing brain tumor growth. Clinicians are unable to reliably predict LGG molecular subtypes from magnetic resonance imaging (MRI) without taking biopsy. Accurate diagnosis prior to surgery would be important. LÄS MER

4. 3. cancer subtype identification using cluster analysis on high-dimensional omics data

   Författare :Linda Vidman; Patrik Rydén; Jun Yu; Erik Kristiansson; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; cluster analysis; cancer; classification;

   Sammanfattning : Identification and prediction of cancer subtypes are important parts in the development towards personalized medicine. By tailoring treatments, it is possible to decrease unnecessary suffering and reduce costs. Since the introduction of next generation sequencing techniques, the amount of data available for medical research has increased rapidly. LÄS MER

5. 4. Deep Learning Methods for Classification of Gliomas and Their Molecular Subtypes, From Central Learning to Federated Learning

   Författare :Muhaddisa Barat Ali; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; glioma subtype classification; convolutional autoencoder; convolutional NN; multi-stream U-Net.; CycleGAN; 1p 19q codeletion; federated learning; IDH mutation; generative adversarial network; Deep learning;

   Sammanfattning : The most common type of brain cancer in adults are gliomas. Under the updated 2016 World Health Organization (WHO) tumor classification in central nervous system (CNS), identification of molecular subtypes of gliomas is important. LÄS MER

7. 5. Modern Staging in Primary Breast Cancer-aspects of micrometastatic disease in bone marrow and molecular profiles in lymph node metastases

   Författare :Anna-Karin Falck; Lund Kirurgi; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; breast cancer; biomarker expression; lymph node metastases; relapse; molecular subtype classification; disseminated tumour cells; bone marrow; prognosis; mode of detection;

   Sammanfattning : Breast cancer is a heterogeneous disease with variations in the biological profile and subsequent clinical prognosis. Molecular mechanisms for tumour progression are currently being explored in scientific settings, suggesting parallel evolution of tumour cells at primary and metastatic locations. LÄS MER