ISSN 2394-5125
 

Research Article 


OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW

B.Sudha, Kathiravan Srinivasan.

Abstract
Over the last decades, medical images were captured by computed tomography (CT), magnetic resonance (MR), mammography, ultrasound, positron emission tomography (PET), X-ray for prior diagnosis, analysis, and remedy of health issues.The model which was developed by using the former techniques was poor and difficult to identify disease accurately. To automate diagnosis Machine Learning (ML) was used.ML was not able to handle complex data.More hidden layers were found to make complex data to model with more abstraction. Thus deep learning entered in the investigation and analysis of medical images. Deep learning has application to predict, diagnose and also to predict generic variations that leads to health problems. This review discusses about various health issues and how deep learning methods help to diagnose those health problems.

Key words: Medical images, deep learning, neural networks, machine learning, feature extraction.


 
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How to Cite this Article
Pubmed Style

B.Sudha, Kathiravan Srinivasan. OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. JCR. 2020; 7(10): 312-319. doi:10.31838/jcr.07.10.66


Web Style

B.Sudha, Kathiravan Srinivasan. OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. http://www.jcreview.com/?mno=114491 [Access: August 17, 2021]. doi:10.31838/jcr.07.10.66


AMA (American Medical Association) Style

B.Sudha, Kathiravan Srinivasan. OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. JCR. 2020; 7(10): 312-319. doi:10.31838/jcr.07.10.66



Vancouver/ICMJE Style

B.Sudha, Kathiravan Srinivasan. OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. JCR. (2020), [cited August 17, 2021]; 7(10): 312-319. doi:10.31838/jcr.07.10.66



Harvard Style

B.Sudha, Kathiravan Srinivasan (2020) OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. JCR, 7 (10), 312-319. doi:10.31838/jcr.07.10.66



Turabian Style

B.Sudha, Kathiravan Srinivasan. 2020. OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. Journal of Critical Reviews, 7 (10), 312-319. doi:10.31838/jcr.07.10.66



Chicago Style

B.Sudha, Kathiravan Srinivasan. "OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW." Journal of Critical Reviews 7 (2020), 312-319. doi:10.31838/jcr.07.10.66



MLA (The Modern Language Association) Style

B.Sudha, Kathiravan Srinivasan. "OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW." Journal of Critical Reviews 7.10 (2020), 312-319. Print. doi:10.31838/jcr.07.10.66



APA (American Psychological Association) Style

B.Sudha, Kathiravan Srinivasan (2020) OBJECT DETECTION BASED DEEP LEARNING TECHNIQUES TO CLASSIFY THE DEFECTS IN MEDICAL IMAGES- A REVIEW. Journal of Critical Reviews, 7 (10), 312-319. doi:10.31838/jcr.07.10.66