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100% OUTPUT AND QUALITY ASSURANCE                                        FINAL YEAR PROJECTS ON BIO-MEDICAL IMAGING

100% PRACTICAL TRAINING ON ALL DOMAINS

TECHNOLOGY : MATLAB

               Bio-Medical Imaging

 
  • Diseases are threatening field in this world.Hence if it is detected in advance means we may reduce the death rate of our country.Most threatening diseases are different CANCER types,THYROID,Diabets,deficiency of blood cells.Hence with images of these diseases we can perform analysis which can be used in detection and prevention of uncurable and un-identifyable by bio-medical instruments.

               Applications

  • Computer-aided diagnosis in mammography
  • Tumor imaging and treatment
  • Angiography
  • Bone strength and osteoporosis 388
  • Tortuosity

                Project Titles

  • Efficacy of texture, shape, and intensity feature fusion for posterior- fossa tumor segmentation in mri
  • Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images
  • Lung cancer detection by using artificial neural network and fuzzy clustering methods
  • Automatic Detection Of Abnormalities In Lung Radiographs Caused By Planocellular Lung Cancer
  • Evaluation of Three Methods for MRI Brain Tumor Segmentation
  • Hybrid Self Organizing Map for Improved Implementation of Brain MRI Segmentation
  • The Research and Exploration of Soft X-Ray Microscopy on the Image Identification System of Squamo cellular Cancer of Esophagus
  • Automated Identification and Classification of White Blood Cells (Leukocytes) in Digital Microscopic
  • Thyroid Segmentation and Volume Estimation in Ultrasound Images
  • Quantitative Analysis of Micro-Calcifications for Breast Cancer via Wavelet Transform and Neural Network
  • Bone Mineral Density Estimation using the Filling Factor of the Radius X-ray Image
  • Knowledge Based Framework for Localization of Retinal Landmarks from Diabetic Retinopathy (DR) Images
  • An Adaptive Mean-Shift Framework for MRI Brain Segmentation
  • Tumor Clustering Using Nonnegative Matrix Factorization With Gene Selection
  • Automatic Detection Of Abnormalities In Lung Radiographs Caused By Plano cellular Lung Cancer


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