Deep Learning Applications in Medical Image Analysis

Deep Learning for Medical Image Analysis

This report describes my research activities in the Hasso Plattner Institute and summarizes my PhD plan and several novel, endto-end trainable approches for analyze medical images using deep learning algorithm. In this report, as an example, we explore diffrent novel methods based on deep learning for brain abnormality detection, recognition and segmentation. This report prepared for doctoral c...

Machine Learning Applications in Medical Image Analysis

A survey on deep learning in medical image analysis

Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection,...

Image Analysis and Deep Learning for Applications in Microscopy

Ishaq, O. 2016. Image Analysis and Deep Learning for Applications in Microscopy. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1371. 76 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9567-1. Quantitative microscopy deals with the extraction of quantitative measurements from samples observed under a microscope. Recent developmen...

Deep Learning for Medical Image Segmentation

This report provides an overview of the current state of the art deep learning architectures and optimisation techniques, and uses the ADNI hippocampus MRI dataset as an example to compare the effectiveness and efficiency of different convolutional architectures on the task of patch-based 3dimensional hippocampal segmentation, which is important in the diagnosis of Alzheimer’s Disease. We found...