Abstract medical image analysis for diagnosis of diseases in

Abstract —
Early detection and diagnosis of diseases are facilitated by medical image
processing methods. It is a strong tool aiding medical research and related
clinical practices. An add on approach survey is done in this paper in the area
of medical image analysis for diagnosis of diseases in oral radiology using
dental x-rays in dentistry. The interpretations of medical images rely hugely
on human involvement and the human perception of the details present in
it.  The interpretation of the delicate
fine details in various contrast situations present in a medical image is
indeed a cumbersome task to assess. Typical radiographs obtained from a regular
radiograph acquisition device may be of poor or average quality in
representation. Various standardized scientific tools have been designed by
researchers, scholars and software developers to address this type of
shortcomings in a medical radiograph. These are targeted to minimize the
possible human error in predicting the right diagnosis and treatment solely on
the basis the human visual perception. Feature extraction on focused area for
the information required, on an extracted tooth area in a digital dental
radiograph is highlighted in this feature of utmost support to a dentist for pre-diagnosis
at an early stage.

1.  Introduction

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Image processing includes several methods like enhancement,
segmentation, region of interest detection, filtering methods, thresholding
technique and morphological operations. The information from texture, shape,
contours, etc is used in the classical image segmentation. Edge detection is
used to find boundaries of objects inside an image. Image enhancement
techniques are used to restore the original image.

              Medical imaging
technology has revolutionized the health care over the past three

 decades, aiding doctors to
diagnose and improve patient outcomes. A fight against cancer is fought effectively using medical
imaging in its prevention, diagnosis and, treatment. An important advantage of digital dental radiography is
its ability to process the image data, so that the information content of the
image is more accessible to the human visual system. Dental
professionals today are increasingly using digital dental x-rays for better
detection, diagnosis, treatment and monitoring of oral conditions and diseases.
Traditional x-ray films are replaced by the digital electronic sensors. These
sensors can produce enhanced computer images of intra oral structures and
conditions.

               The aim of this systematic
review is to give an overview towards current dental image processing methods
because of their potential importance in the dental and forensic fields.

Therefore,
this paper is sectioned and sub sectioned as section 3.2  reviews the methodology a review of image enhancement
methods used on dental X-ray images. Section 3.3reviews various techniques used
for image segmentation and feature extraction on dental radiographs. This
section also highlights the works done in forensic odontology using image
segmentation. Section 3 concludes the present review.