[PDF] Top 20 Automatic analysis of mammography images : enhancement and segmentation techniques
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Automatic analysis of mammography images : enhancement and segmentation techniques
... number of false positives increased to more 100 FP detections, while the FN decreased only by 2 ...introduction of more positive incorrect detections, while few additional microcalcifications were ...degree ... See full document
152
An automatic integrated image segmentation, registration and change detection method for water-body extraction using HSR images and GIS data
... 25%. Analysis shows the following reasons that cause extraction ...error and effect of uncertainty of water-body ’s boundary because of shelter ...error of newly added ... See full document
6
Automatic segmentation of the lumen of the carotid artery in ultrasound B-mode images
... fact of the carotid being a superficial artery and quite suitable for this type of ...B-mode images present difficulties, specifically in the segmentation of the structures ... See full document
16
Automatic lane segmentation in TLC images using the continuous wavelet transform
... lane segmentation can be found in the literature, although most of them were developed for gel electrophoresis ...number of lanes as ...maxima of intensity profiles, obtained through the ... See full document
19
Development of an automatic tool for dose management in digital mammography
... Digital mammography units usually record the entrance surface exposure (ESE) and the average glandular dose (AGD) received by the patient for each ...headers and can be used to perform dose surveys. ... See full document
13
Automatic Detection of Anatomical Structures and Breast Cancer Diagnosis on X-Ray Mammography
... segment and classify individual mammogram ...cascade of simple to complex classifiers to screen out obvious negatives cases and attain only the positive cases to be processed by the next ...sequence ... See full document
184
SYNTHETIC APERTURE SONAR IMAGES SEGMENTATION USING DYNAMICAL MODELING ANALYSIS
... Sonar images are proposed in order to assess the validity and reliability of use of such models and evaluate how effective they can be in terms of image classification and ... See full document
8
Computational Techniques for Automated Analysis of Animal Tissue Histological Images
... selection of sub-areas of interest in the image to re-register at higher ...interactive segmentation of the volumetric structures by implementing several techniques, including a manual ... See full document
112
A Comparative Analysis of Image Fusion Techniques for Remote Sensed Images
... different techniques for registration and fusion of remote sensed ...multispectral and higher resolution panchromatic images of SPOT satellite are ...These images are ... See full document
6
MR imaging contrast enhancement and segmentation using fuzzy clustering
... imaging techniques such as, Magnetic Resonance Imaging (MRI), Computed Tomography (CT) or Ultrasound Imaging (USI) have introduced a formidably powerful tool in medicine by providing detailed images ... See full document
10
Comparative study of segmentation techniques in fluorescence microscope images with Leishmania infections
... imaging and image processing have been subject of interest of scientific and engineering ...breakthroughs and push the boundaries of human knowledge in biology, medicine, ... See full document
104
Optimized Fuzzy Logic Based Segmentation for Abnormal MRI Brain Images Analysis
... methods of image segmentation that could be classified as statistical methods have been introduced in the past few ...medical images. The method introduced the use of cues to guide the medical ... See full document
7
An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images.
... natural and VRF teeth in nonendodontically treated teeth. And then the stress analysis has important accessory diagnostic value for den- tistry ...consisting of enamel, dentin and ... See full document
19
Tool for 3D analysis and segmentation of retinal layers in volumetric SD-OCT images
... One of the most promising techniques in image segmentation uses the theory of graphs (Li et ...3D segmentation problem into finding a minimum cost closed set in a vertex-weighted ... See full document
77
Segmentation and Classification of Tumour in Computed Tomography Liver Images for Detection, Analysis and Preoperative Planning
... 10 automatic and six interactive methods for liver segmentation from contrast-enhanced CT ...graph-cuts and rule-based ...to segmentation five error measures that highlight different ... See full document
6
Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques
... presence of precipitates in metallic materials affects its durability, resistance and mechanical ...its automatic identification by image processing and machine learning techniques may ... See full document
13
Segmentation and 3D Reconstruction of Animal Tissues in Histological Images
... systems analysis and image processing as remote sensing ...detection of discrepancies, images union, weather forecast, creation of high resolution images), cartography (in update ... See full document
165
Automated segmentation, tracking and evaluation of bacteria in microscopy images
... The automatic analysis of sequences of images taken at regular intervals will allow characterizing the kinetics of protein production in live ...methods of the duration ... See full document
93
Comparison of automatic segmentation of full polarimetric SAR sea ice images with manually drawn ice charts
... Lund and Trond Robertsen of the Norwe- gian Ice Service for their analysis of sea ice stage of development and Thomas Kræmer at the University of Tromsø for advice in the ... See full document
40
Automatic computational scheme for segmentation, volumetric assessment and analysis of multiple sclerosis lesions in magnetic resonance images of the human brain
... disease of the Central Nervous System ...sheath of the CNS as an external element and attacks it, resulting in inflammation and scarring (sclerosis) of multiple areas of CNS’s ... See full document
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