What is it about?
Automatic computer aided diagnosis of brain diseases has been gaining significant attention in the last two decades. The aim of this work is to review the current state of the art techniques employed for segmentation, classification and detection of stroke lesion and present the key challenges in it. By investigating the advanced aspects and significant pitfalls of the different surveyed techniques, an overview on the performance of these methods is presented in this work
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Why is it important?
Automatic computer aided diagnosis of brain diseases has been gaining significant attention in the last two decades. The aim of this work is to review the current state of the art techniques employed for segmentation, classification and detection of stroke lesion and present the key challenges in it. By investigating the advanced aspects and significant pitfalls of the different surveyed techniques, an overview on the performance of these methods is presented in this work
Perspectives
Detecting the presence of stroke lesion from medical images in a quick and accurate way remains as a challenging issue. With the recent advances in medical imaging, artificial intelligence and diagnostic radiology, computed aided diagnostic support scheme pulls in more consideration for stroke detection. This work presents a comprehensive analysis of the included papers based on different segmentation, feature extraction and prediction methods.
Menaka R
VIT University
Read the Original
This page is a summary of: Computer-aided detection and characterization of stroke lesion – a short review on the current state-of-the art methods, The Imaging Science Journal, September 2017, Taylor & Francis,
DOI: 10.1080/13682199.2017.1370879.
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