Thursday, 12 August 2021

COMPUTER AIDED DIAGNOSTIC SYSTEM

 COMPUTER AIDED DIAGNOSTIC SYSTEM

Link for video demonstration of this topic 👇👇
https://youtu.be/U2LIRTJ40X8

DEFINATION

CAD (computer aided diagnosis) is an interdisciplinary technology combining elements of artificial intelligence and computer vision with radiological and pathology image processing usually confined for marking conspicuous structures and sections.

For e.g. In mammography (diagnosis of breast cancer), CAD highlights microcalcification clusters and hyperdense structures in the soft tissue. This allows the radiologist to draw conclusions about the condition of the pathology.



INTRODUCTION

Computer aided diagnosis (CAD) are the systems that assist doctors in the interpretation of medical images, CAD system process digital images for typical appearance and to highlight conspicuous section such as possible diseases.

In medical imaging field, CAD helps doctors to take decision swiftly. Medical imaging deals with information in image that the medical practitioner and doctors has to evaluate and analyse abnormally in short time. The analysis is very crucial task because imaging is the modality to diagnose any disease at the earliest but this process of acquiring image should not harm the human body. Imaging techniques like MRI, X-RAY, Endoscopy, Ultrasound etc if acquired with high energy will provide good quality image but will harm the body. Hence images are taken in less energy but the quality of image is of less contrast.

Thus, CAD system use to improve the quality of the image which helps to interpret the medical images correctly and process the images to highlight the conspicuous part.

OBJECTIVES OF CAD SYSTEM

The main objective or goal of CAD is to identify abnormal signs at an earliest that a human professionally fails to find. Like in mammography, identification of small lumps in dense tissues etc.


TYPES OF CAD SYSTEM

CAD is further divided into two types:

CADe

CADx


CADe is usually restricted to marking the visible parts or structures in image.

Whereas CADx helps to evaluate the structures identified in CADe. Both CAD models are significantly important in identifying the abnormality at an earliest.

E.g. of CAD scan of lungs



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