Essays about: "computer-aided diagnosis"

Showing result 11 - 15 of 30 essays containing the words computer-aided diagnosis.

1. 11. Providing Mass Context to a Pretrained Deep Convolutional Neural Network for Breast Mass Classification

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

   Author : Lovisa Montelius; George Rezkalla; [2019]
   Keywords : Deep learning; Convolutional neural network; Transfer learning; Computer-aided diagnosis; Breast cancer; Breast mass classification; Breast mass context; ;

   Abstract : Breast cancer is one of the most common cancers among women in the world, and the average error rate among radiologists during diagnosis is 30%. Computer-aided medical diagnosis aims to assist doctors by giving them a second opinion, thus decreasing the error rate. READ MORE

3. 12. A Comparative Study of the Effect of Features on Neural Networks within Computer-Aided Diagnosis of Alzheimer's Disease

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

   Author : Mikael Kolanowski; David Stevens; [2019]
   Keywords : Alzheimer’s disease; computer-aided diagnosis; machine learning; artificial neural networks; Alzheimers sjukdom; datorstödd diagnos; maskininlärning; artificiella neuronnät;

   Abstract : Alzheimer’s disease is a neurodegenerative disease that affects approximately 6% of the global population aged over 65 and is forecasted to become even more prevalent in the future. Accurately diagnosing the disease in an early stage can play a large role in improving the quality of life for the patient. READ MORE

4. 13. Energy-Efficient Detection of Atrial Fibrillation in the Context of Resource-Restrained Devices

   University essay from Luleå tekniska universitet/Datavetenskap

   Author : Mansour Kheffache; [2019]
   Keywords : IoT; machine learning; atrial fibrillation; ECG; energy-efficiency; hyperdimensional computing; stochastic computing; RVFL; edge computing;

   Abstract : eHealth is a recently emerging practice at the intersection between the ICT and healthcare fields where computing and communication technology is used to improve the traditional healthcare processes or create new opportunities to provide better health services, and eHealth can be considered under the umbrella of the Internet of Things. A common practice in eHealth is the use of machine learning for a computer-aided diagnosis, where an algorithm would be fed some biomedical signal to provide a diagnosis, in the same way a trained radiologist would do. READ MORE

5. 14. An evaluation of image preprocessing for classification of Malaria parasitization using convolutional neural networks

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

   Author : Erik Engelhardt; Simon Jäger; [2019]
   Keywords : Deep Learning; Convolutional Neural Network; Malaria; Image Recognition; Preprocessing; Computer Aided Diagnosis; Grayscale; Normalization; Histogram Equalization; CLAHE.; Deep Learning; Convolutional Neural Network; Malaria; Image Recognition; Preprocessing; Computer Aided Diagnosis; Grayscale; Normalization; Histogram Equalization; CLAHE.;

   Abstract : In this study, the impact of multiple image preprocessing methods on Convolutional Neural Networks (CNN) was studied. Metrics such as accuracy, precision, recall and F1-score (Hossin et al. 2011) were evaluated. Specifically, this study is geared towards malaria classification using the data set made available by the U. READ MORE

6. 15. Fully Convolutional Networks for Mammogram Segmentation

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Hampus Carlsson; [2019]
   Keywords : Mammography; FCN; Fully Convolutional Neural Networks; Mammogram Segmentation; MIAS;

   Abstract : Segmentation of mammograms pertains to assigning a meaningful label to each pixel found in the image. The segmented mammogram facilitates both the function of Computer Aided Diagnosis Systems and the development of tools used by radiologists during examination. Over the years many approaches to this problem have been presented. READ MORE