CUI Lahore Repository

Smart System for Medical Expertise Assistance

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dc.contributor.author Islam, Amina
dc.date.accessioned 2022-08-22T05:28:38Z
dc.date.available 2022-08-22T05:28:38Z
dc.date.issued 2022-08-22
dc.identifier.uri http://repository.cuilahore.edu.pk/xmlui/handle/123456789/3413
dc.description.abstract The computer-based techniques are more suitable for feature extraction, and classification. The proposed CAD (Computer Aided Diagnosis) system addresses the several steps such as preprocessing, feature extraction, and classification. Though many commercial CAD systems are available, identification of subtle signs for many diseases detection and classification remains difficult. The proposed system presents some advanced techniques in medical imaging to overcome these difficulties. The past decade has seen the growing popularity of Bag of Features (BoF) approaches to many computer vision tasks, including image classification, video search and texture recognition. BoF methods are based on order less collections of quantized local image descriptors; they discard spatial information and are therefore conceptually and computationally simpler than many alternative methods. Despite this, or perhaps because of this, BoF-based systems have set new performance standards on popular image classification benchmarks and have achieved scalability breakthroughs in image retrieval. Emphasis is placed on recent techniques that mitigate quantization errors, improve feature detection, and speed up image retrieval. Among the unresolved issues are determining the best techniques for sampling images, describing local image features, and evaluating system performance. Among the more fundamental challenges are how and whether BoF methods can contribute to localizing objects in complex images, or to associating high-level semantics with natural images. en_US
dc.publisher Department of Computer Sciences, COMSATS University Lahore. en_US
dc.relation.ispartofseries FA18-RCS-016;7596
dc.subject Smart System,Medical Expertise en_US
dc.title Smart System for Medical Expertise Assistance en_US
dc.type Thesis en_US


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  • Thesis - MS / PhD
    This collection containts the Ms/PhD thesis of the studetns of Department of Computer Science

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