-
Chapter and Conference Paper
Indexing and Retrieval of Medical Images Using CBIR Approach
Medical image indexing and storage is gaining increased importance. Indexing and retrieval of these images efficiently is becomes an essential task. Indexing of medical images using text or numbers is a cumber...
-
Chapter and Conference Paper
An Overview and Comparative Study of Segmentation Techniques for Extraction of Tongue Region for Computerized Tongue Diagnosis
Extraction of Tongue Contours is an important issue in development of disease diagnostic expert system [DDES] using tongue image analysis. Tongue inspection is a commonly used practice in Traditional Chinese M...
-
Chapter and Conference Paper
Performance Analysis of Mammographic Image Enhancement Techniques for Early Detection of Breast Cancer
Mammogram breast cancer images have the ability to assist physician in detection of disease caused by cells normal growth. Develo** algorithms and software to analyse these images may also assist physicians ...
-
Chapter and Conference Paper
Review of Feature Selection Algorithms for Breast Cancer Ultrasound Image
Correct classification of patterns from images is one of the challenging tasks and has become the focus of much research in areas of machine learning and computer vision in recent era. Images are described by ...
-
Article
Open AccessEnhanced cryopreservation of MSCs in microfluidic bioreactor by regulated shear flow
Cell-matrix systems can be stored for longer period of time by means of cryopreservation. Cell-matrix and cell-cell interaction has been found to be critical in a number of basic biological processes. Tissue s...
-
Article
Segmentation of Brain Lesions in MRI and CT Scan Images: A Hybrid Approach Using k-Means Clustering and Image Morphology
Manual segmentation and analysis of lesions in medical images is time consuming and subjected to human errors. Automated segmentation has thus gained significant attention in recent years. This article present...
-
Chapter and Conference Paper
Regression-Based Approach to Analyze Tropical Cyclone Genesis
This paper attempts to explore regression approach for the prediction of tropical cyclone genesis in North Indian Ocean. The cyclonic storms from the Bay of Bengal are the usual phenomenon in east coast of Ind...
-
Article
Use of Prosocial Word Enhances the Processing of Language: Frequency Domain Analysis of Human EEG
Use of prosocial language enhances human cooperation and harmony. Previous research has shown that talking about hel**, sharing and giving to others creates positive impression on others, by which individual...
-
Article
Soft voting technique to improve the performance of global filter based feature selection in text corpus
In text classification, the Global Filter-based Feature Selection Scheme (GFSS) selects the top-N ranked words as features. It discards the low ranked features from some classes either partially or completely....
-
Article
Respiratory Sound Based Classification of Chronic Obstructive Pulmonary Disease: a Risk Stratification Approach in Machine Learning Paradigm
This article investigates the classification of normal and COPD subjects on the basis of respiratory sound analysis using machine learning techniques. Thirty COPD and 25 healthy subject data are recorded. Tota...
-
Chapter and Conference Paper
Prediction of Hydroxyurea Effect on Sickle Cell Anemia Patients Using Machine Learning Method
The objective of this paper is to predict the effect of hydroxyurea of individuals suffering from Sickle Cell Disease (SCD) using predictive machine learning techniques. Nowadays worldwide sickle cell disease ...
-
Chapter and Conference Paper
Speech Parameter and Deep Learning Based Approach for the Detection of Parkinson’s Disease
Parkinson’s disease is one of the common chronic and progressive neurodegenerative diseases across the globe. Speech parameters are the most important indicators that can be used to detect the disease at its e...
-
Chapter and Conference Paper
Hiding Patient Information in Medical Images: A Robust Watermarking Algorithm for Healthcare System
Electronically transmission of the medical images is an essential prerequisite in a Healthcare system. During transmission, the medical images can be hacked and altered either partially or in totality, unless ...
-
Chapter and Conference Paper
Feature Selection for Classification of Breast Cancer in Histopathology Images: A Comparative Investigation Using Wavelet-Based Color Features
Breast cancer is taken into account as one of the foremost common kinds of cancer occurring in women worldwide. This work is intended to develop an automated classification system in order to classify the brea...
-
Chapter and Conference Paper
Comparative Investigation of Different Classification Techniques for Epilepsy Detection Using EEG Signals
Among the major brain abnormalities that have been identified, various remedial strategies are proposed to tackle most of such conditions. One of the serious abnormalities of the nervous system is epilepsy, wh...
-
Article
Integrating patient symptoms, clinical readings, and radiologist feedback with computer-aided diagnosis system for detection of infectious pulmonary disease: a feasibility study
Automatic computer-aided diagnosis (CAD) system has been widely used as an assisting tool for mass screening and risk assessment of infectious pulmonary diseases (PDs). However, such a system still lacks clini...
-
Article
EEG based functional brain networks analysis in dyslexic children during arithmetic task
Developmental Dyslexia is a neuro-developmental disorder that often refers to a phonological processing deficit regardless of average IQ. The present study investigated the distinct functional changes in brain...
-
Article
A real-time correlation model between lung sounds & clinical data for asthmatic patients
Lung sounds indicate the lung’s capacity to hold and breathe oxygen, which assists in evaluating its qualitative health. While clinical lung data like cough conditions, mucus levels, shortness of breath, wheez...
-
Chapter and Conference Paper
Beta Artificial Bee Colony Algorithm for EMG Feature Selection
The electromyography (EMG) signals play a very important role in the muscular activity of the human body. Muscular activities can be measured and analyzed through various movements such as writing, walking, ru...
-
Article
A dual-modality evaluation of computer-aided breast lesion segmentation in mammogram and ultrasound using customized transfer learning approach
Manual segmentation of breast lesions is a tedious and time-consuming task. The existing state-of-the-art studies are evaluated on single modalities, i.e., either on mammogram or ultrasound thereby having limi...
