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Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic medicinal industry. The main features required to identify a medicinal plant is its leaf shape, colour and texture. Colour and texture from both sides of the leaf contain deterministic parameters to identify the species. This paper explores feature vectors from both the front...
Retrieving images depend of specific features In Content Based Image Retrieval (CBIR). A common approach is to divide retrieval process into two stages; the first one is based on high-level features followed by the second that is based on low-level features. We focus primarily on medical images, and follow the above approach but make the following two basic contributions: a) introduce the gray cluster...
Analyzing data representing multifarious trajectories is central to the many fields in Science and Engineering; for example, trajectories representing a tennis serve, a gymnast’s parallel bar routine, progression/remission of disease and so on. We present a novel geometric algorithm for performing statistical analysis of trajectories with distinct number of samples representing longitudinal (or temporal)...
We have previously proposed the use of acoustic microbubble delivery in blood vessels to improve the efficacy of acoustic targeted drug therapy. The technical requirement is the detailed visualization of the blood vessel network for navigation around a target such as a tumor. For this purpose, we have used three-dimensional (3D) Doppler-mode volumes to obtain the blood vessel structure. However, since...
The changes in facial appearance resulting from the effect of plastic surgery may manifest in the form of textural variations, and/or geometric variations with respect to the facial structural features such as eyes, nose, mouth, jaw, nose, brow, etc. This study argues that despite these variations, there exist facial features that are insensitive to the effect of plastic surgery. This paper therefore...
Human beings have inseparably attached biofield with physical body. This is now universally accepted. Scientific experiments have conclusively proved that the state of mind, i.e. the thought process, is responsible for generating different characteristics of biophotons. Detection, measurement, and even two dimensional imaging of ultraweak biophotons emission have been reported. With rapid progress...
In present technical paper we describe an algorithm to detect steatosis. The golden standard in liver diagnosis is the biopsy. For clinical investigations the score given by a human expert is good enough. In developing noninvasive tools one needs objective and reproducible measurements of the biopsy parameters. There are two approaches proposed here, one based on classical computer vision and another...
Nature has surrounded us with lot of plants having medicinal values. But most of the time, we don't realize the importance and benefits of the plant and we just ignore it. In other cases, though we know names of the plants with medicinal values, it becomes difficult to identify the plant even if it is naturally grown in our backyard. And hence, a system is developed which would provide a solution...
With the recent developments in medicine and biology experiments a large amount of data is gathered in the form of multimedia elements (images, videos). Many algorithms have been developed and adapted based on the system of interest, and often the most challenging feature of the images may be used to facilitate a better analysis of the image. Herein, we developed an image analysis algorithm for quantification...
Herbal medicines can be used in treating health conditions under qualified medical observation. Various advantages are perceived by many consumers as being associated with using herbal medicines compared to conventional pharmaceutical products, such as the reduced risk of side effects, effectiveness with chronic conditions, lower cost and large availability, although robust evidence supporting such...
The most important goal in image segmentation is extraction and description structural configurations with based on few input features or knowledge of an expert. Traditional techniques for medical image segmentation involve more time complexity thereby developing an obstacle in real time application schemes. This paper presents various ways of medical image segmentation. Image segmentation can be...
The understanding of the pain frequency of patients can facilitate medical professional diagnosis, so self-management tools for pain have gained increasing attention. However, there have been just a limited number of tools for children who are not highly literate. In this study, the first of 10 children aged from 3 to 9 as objects, to clarify the extent of the children's understanding of graphic design...
Brain Tumor which is also known as Intracranial Neoplasm is a vital brain disease. This is caused when abnormal cells are formed within the brain. The two essential types of tumor are Malignant or Cancerous tumor and Brain tumor. The patient does not recover when the growth of the abnormal cells is more than the 50% mark of the brain. The describes two different algorithms of image processing. The...
Image registration which is frequently required in Medical, Computer vision and remote sensing field is used to align two images geometrically. This paper presents efficient method for providing speedup and more accuracy in compared to current state of the art existing methods. This paper focuses on Feature detection using Harris detector which gives best result based on performance and has firm invariance...
Magnetic Resonance Imaging (MRI) is a non-invasive widely used modality in medical diagnosis. One of disadvantages of this method is the low signal to noise ratio (SNR) and (or) contrast to noise ratio (CNR). That's why the image analysis tasks such as segmentation, reconstruction and registration are rather complicated. So the noise reduction in MR images is very important as a pre-processing task...
1p/19q co-deletion is an important prognostic factor in low grade gliomas. However, determination of the 1p/19q status currently requires a biopsy. To overcome this, we investigate a radiogenomic classification using support vector machines to non-invasively predict the 1p/19q status from multimodal MRI data. Different approaches of predicting this status were compared: a direct approach which predicts...
Aortic dissection is a condition in which a tear in the inner wall of the aorta allows blood to flow between two layers of the aortic wall. Aortic dissection is associated with severe chest pain and can be deadly. Contrast-enhanced CT is the main modality for detection of aortic dissection. Aortic dissection is one of the target abnormalities during evaluation of a triple rule-out CT in emergency...
Multimodal biometric fusion is generally used for increasing the verification accuracy by combining two or more biometric traits. Fusion systems with predefined constant weight values for each biometry becomes much popular. Among biometrics, face modality is one of the most common traits that is used in such fusion system. However, face verification suffers from many challenging difficulties, one...
Based on the fact that coronary heart disease (CHD) is the leading cause of death among all cardiovascular abnormalities, clinicians are keen in early detection and continuous monitoring of arterial atherosclerosis. Conventional cardiac catheterization method yields 2D angiograms of cardiac vasculature with possibly missed abnormalities as well as its invasive nature involves risk to the patient....
Plants play an important role in Earth's ecology by providing sustenance, shelter and maintaining a healthy atmosphere. Some of these plants have important medicinal properties. Automatic recognition of plant leaf is a challenging problem in the area of computer vision. An efficient Ayurvedic plant leaf recognition system will beneficial to many sectors of society which include medicinal field botanic...
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