Titlebook: Recent Trends in Image Processing and Pattern Recognition; Second International K. C. Santosh,Ravindra S. Hegadi Conference proceedings 201

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Gabor Filter Based Classification of Mammography Images Using LS-SVM and Random Forest Classifieroposed work, attempt has been made to discriminate normal and abnormal mammograms belonging to fatty, fatty-glandular or dense-glandular breast tissue density. Breast x-ray images acquired in Medio-Lateral-Oblique (MLO) view (n = 197) chosen from mini-MIAS database are preprocessed using median filt

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A Review of Contemporary Researches on Biomedical Image Analysisudies performed by researchers in last five years. The various topics discussed are Advances in Biomedical imaging, Big data work flow for biomedical image analysis, Biomedical Image Analysis of Micro-bubbles in Dental Ultrasonic Scalars, Dynamic Programming Based Segmentation in Biomedical Imaging,

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Osteoarthritis Detection and Classification from Knee X-Ray Images Based on Artificial Neural Networs due to loss of articular cartilage, bone remodeling (due to accidents, for instance) and heavy weight-bearing on joints. In orthopedics, it is one of the most occurring disorder nowadays. Hence an effective computer-aided diagnosis (CAD) system is required to diagnose the Osteoarthritis. This pape

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Nail Image Segmentation for Disease Detection brain haemorrhage etc. can be detected by capturing various types of images like MRI, CT Scan, PET, X-ray. Color feature of fingernail is used for disease detection. Various segmentation techniques like k-means segmentation, L*a*b color space, watershade segmentation are used to extract interested

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Color Transfer Method for Efficient Enhancement of Color Images and Its Application to Peripheral Blal blood smear images. Peripheral blood smear analysis is subjective, laborious and is error prone. Automation is highly desirable to obtain objective and accurate results. It also would help reduce the burden of pathologists. However, automation of peripheral blood smear analysis is challenging due

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Medical Image Encryption with Integrity Using DNA and Chaotic Mapor issue, particularly in medical field integrity, confidentiality and security are very significant issues. To provide this, a novel approach using SHA-256, Deoxyribonucleic Acid (DNA) cryptography and a chaotic map is proposed in this paper. The integrity for digital medical image is very importan

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A Systematic Approach for Constructing 3D MRI Brain Image over 2D Imagesg plays a vital role in early diagnosis and treatment planning. In the proposed paper layering mechanism is used to construct 3D brain image from several 2D Magnetic Resonance Images (MRI). In the first step, intensity-based registration technique is used to perform the registration of T1 and T2 wei

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