Essays about: "computer-aided diagnosis"

Showing result 16 - 20 of 30 essays containing the words computer-aided diagnosis.

1. 16. Incremental Learning of Deep Convolutional Neural Networks for Tumour Classification in Pathology Images

   University essay from Linköpings universitet/Institutionen för medicinsk teknik

   Author : Philip Johansson; [2019]
   Keywords : Deep Learning; Convolutional Nerual Networks; Pathology; Incremental Learning; Catastrophic Forgetting; Generative Adversarial Networks; Auxiliary Classification Generative Adversarial Networks;

   Abstract : Medical doctors understaffing is becoming a compelling problem in many healthcare systems. This problem can be alleviated by utilising Computer-Aided Diagnosis (CAD) systems to substitute doctors in different tasks, for instance, histopa-thological image classification. READ MORE

3. 17. PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder

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

   Author : Beichen Chen; Amy Jinxin Chen; [2019]
   Keywords : Bipolar disorder; diagnosis; computer-aided medical diagnosis; SVM; Support vector machine; PCA; Principal component analysis; dimensionality reduction; feature reduction; neuroimaging; MRI; sMRI; machine learning; classification; psychiatric disorders; mental illness; Bipolär sjukdom; diagnotisering; datorstödd medicinsk diagnotisering; SVM; stödvektormaskin; PCA; principalkomponentanalys; MRI; magnetisk resonanstomografi; MRT; dimensionalitetsreduktion; maskininlärning; dimensionsreduktion; klassificering; psykiska sjukdomar;

   Abstract : This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. READ MORE

4. 18. Segmentation-based Retinal Image Analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Qian Wu; [2019]
   Keywords : Retinal Image; Machine Learning; Image Segmentation;

   Abstract : Context. Diabetic retinopathy is the most common cause of new cases of legal blindness in people of working age. Early diagnosis is the key to slowing the progression of the disease, thus preventing blindness. Retinal fundus image is an important basis for judging these retinal diseases. READ MORE

5. 19. Evaluating a deep convolutional neural network for classification of skin cancer

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

   Author : Joakim Boman; Alexander Volminger; [2018]
   Keywords : ;

   Abstract : Computer-aided diagnosis (CAD) has become an important part of themedical field. Skin cancer is a common and deadly disease that a CADsystem could potentially detect. It is clearly visible on the skin andtherefore only images of skin lesions could be used in order to pro-vide a diagnosis. READ MORE

6. 20. A comparison of classification accuracy between MRI and PET datasets in computer aided diagnosis of Alzheimer's disease

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

   Author : Gustav Kjellberg; Henrik Kälvegren; [2018]
   Keywords : ;

   Abstract : The number of people suffering from Alzheimer’s disease (AD) is expected to increase rapidly in the coming years. Diagnosing the disease early is key to giving those affected a chance to maintain a higher quality of life. One of the most common ways to detect AD is to visually inspect scans of the patients’ brains. READ MORE