APPROACHES OF ARTIFICIAL INTELLIGENCE IN BIOMEDICAL IMAGE PROCESSING

被引：0

作者：

Shukla, Shruti ^{[1
]}

Lakhmani, Ashish ^{[2
]}

Agarwal, Ambuj Kumar ^{[3
]}

机构：

[1] Babu Banarsi Das Northern India Engn Coll, Dept Biomed Engn, Faizabad Rd, Lucknow 226028, Uttar Pradesh, India

[2] Babu Banarsi Das Natl Inst Technol & Management, Dept Comp Sci Engn, Faizabad Rd, Lucknow 226028, Uttar Pradesh, India

[3] Teerthankar Mahaveer Univ, Coll Comp Sci & Informat Technol, Moradabad, India

来源：

2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND AUTOMATION (ICACCA 2016) | 2016年

关键词：

Artificial intelligence; fuzzy logic; medical imaging; medical tools; neural networks; segmentation methods;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Artificial Intelligence or AI is a subfield of computer science, which can be defined as the intelligence exhibited by a machine or a software having a remarkable impact on the field of biology and medicine. Imaging, on the other hand has become an essential component of many fields in medicine, biomedical applications, biotechnology and laboratory research by which images are processed and analysed. Putting together AI and imaging, the tools and techniques of artificial intelligence are useful for solving many biomedical problems and using a computer based equipped hardware software application for understanding images, researchers and clinicians can enhance their ability to study, diagnose, monitor, understand and treat medical disorders. Therefore the main idea behind this research paper is to focus on understanding the artificial intelligence, its concepts and various models available for the segmentation(or classification) of medical images, its applications, advantages and disadvantages and results and more.

引用

页码：249 / 254

页数：6

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