Book ChapterDOI
Normal Pressure Hydrocephalus Detection Using Active Contour Coupled Ensemble Based Classifier
Pallavi Saha,Sankhadeep Chatterjee,Santanu Roy,Soumya Sen +3 more
- pp 543-553
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TLDR
Experimental results disclosed a significant improvement in case of ensemble classifier in comparison to Support Vector Machine in terms of its performance.Abstract:
The Brain plays an imperative role in the life of human being as it manages the communication between sensory organs and muscles. Consequently, any disease related to brain should be detected at an early stage. Abundant accumulation of cerebrospinal fluid in the ventricle results to a brain disorder termed as normal pressure hydrocephalus (NPH). The current study aims to segment the ventricular part from CT brain scans and then perform classification to differentiate between the normal brain and affected brain having NPH. In the proposed method, firstly few preprocessing steps have been carried out to enhance the quality of the input CT brain image and ventricle region is cropped out. Then active contour model is employed to perform segmentation of the ventricle. Features are extracted from the segmented region and Ensemble classifier is used to classify CT brain scan into two classes namely, normal and NPH. More than hundreds of CT brain scans were analyzed during this study; area of ventricle has been used as a measure of feature extraction. Experimental results disclosed a significant improvement in case of ensemble classifier in comparison to Support Vector Machine in terms of its performance.read more
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Book ChapterDOI
Continual Deep Learning Framework for Medical Media Screening and Archival
TL;DR: Gradual self-improvement of the AI engine narrowing down the fuzzy zone between confident positive and confident negative of diagnosis would be the key achievement of proposed continuous deep learning framework.
References
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Modified cuckoo search algorithm in microscopic image segmentation of hippocampus
Shouvik Chakraborty,Sankhadeep Chatterjee,Nilanjan Dey,Amira S. Ashour,Ahmed S. Ashour,Fuqian Shi,Kalyani Mali +6 more
TL;DR: A novel method for cell segmentation and identification has been proposed that incorporated marking cells in cuckoo search (CS) algorithm and experimental results established that the Kapur's entropy segmentation method based on the modified CS required the least computational time.
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Journal ArticleDOI
Contrast Enhancement Techniques for Images- A Visual Analysis
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TL;DR: This paper presents an analysis of the mathematical morphological approach with comparison to various other state-of-art techniques for addressing the problems of low contrast in images.