Abstract: Content Based Image Retrieval (CBIR) coupled with
Case Based Reasoning (CBR) is a paradigm that is becoming
increasingly popular in the diagnosis and therapy planning of medical
ailments utilizing the digital content of medical images. This paper
presents a survey of some of the promising approaches used in the
detection of abnormalities in retina images as well in
mammographic screening and detection of regions of interest
in MRI scans of the brain. We also describe our proposed
algorithm to detect hard exudates in fundus images of the
retina of Diabetic Retinopathy patients.
Abstract: We report a novel fusion tag for expressing
recombinant proteins in E. coli. The fusion tag is the C-terminus part
of the human GMCSF gene comprising 45 amino acids, which aid in
over expression of otherwise non expressible genes. Expression of
hIFN a2b with this fusion tag also escapes the requirement of rare
codons for expression. This is also a first report of a small fusion tag
of human origin having affinity to heparin sepharose column
facilitating the purification of fusion protein.
Abstract: The paper describes design of an ontology in the
financial domain for mutual funds. The design of this ontology
consists of four steps, namely, specification, knowledge acquisition,
implementation and semantic query. Specification includes a
description of the taxonomy and different types mutual funds and
their scope. Knowledge acquisition involves the information
extraction from heterogeneous resources. Implementation describes
the conceptualization and encoding of this data. Finally, semantic
query permits complex queries to integrated data, mapping of these
database entities to ontological concepts.