Ewert Bengtsson
Professor emeritus i datoriserad bildanalys vid Institutionen för informationsteknologi; Vi3; Bildanalys
- E-post:
- ewert.bengtsson@it.uu.se
- Besöksadress:
- Hus 10, Lägerhyddsvägen 1
- Postadress:
- Box 337
751 05 UPPSALA
- Akademiska meriter:
- TeknD
- CV:
- Ladda ned CV
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Kort presentation
Ewert Bengtsson är professor emeritus i datoriserad bildanalys med inriktning mot biomedicinska tillämpningar. Har varit verksam på området sedan 1973. Var med och byggde upp ämnet vid Uppsala universitet och skapade Centrum för bildanalys, CBA, 1988. Har sedan dess varit engagerad i CBA:s utveckling till en ledande bildanalysenhet. Är särskilt engagerad i att utveckla bildanalyssystem för tidig upptäckt, diagnostik och gradering av cancer.
Nyckelord
- bildanalys
- biomedical image analysis
- image analysis
- image cytometry
- image processing
- medical image analysis
Biografi
Denna text finns inte på svenska, därför visas den engelska versionen.
My main research interest is in developing computerized image analysis for medical applications. I have been working in that field since my Master Thesis work in 1973-74. That work was dealing with Analysis of cell images using video and computer technology. My doctoral thesis in 1977 was dealing with the same subject. I have since then supervised 15 doctoral theses in that field. My most recently supervised PhD on that topic, Patrik Malm, worked on developing computerized analysis of PAP-smears for early detection of cervical cancer, the same problem as I was addressing in my PhD thesis some 40 years ago. My early research resulted in a working, but far from cost-effective, solution. Since then commercial systems have appeared on the market but they are also very expensive and only used in rich countries. This time we are trying to develop a new generation system, cost effective enough to be used also in countries such as India where we have close collaboration.
Most of the previous work has been related to cancer research but now we are also turning into modern cell biology problems. Digital imaging cytometry is a field of rapidly growing importance. One of my former PhD students, Carolina Wählby, is now professor of Quantitative Microscopy and is very successfully leading this research in close collaboration with the Science for Life Laboratory project.
But cell image analysis is not my only interest. I also work with other medical images e.g. from radiology (CT, MR) or nuclear medicine (PET, SPECT). We have also had a project on using haptic interaction to supplement the visual one in exploring medical images in particular for planning of maxillofacial surgery. Professor Ingela Nyström is continuing work on that project. We also have collaboration with Örjan Smedby at KTH on whole body angiographic images. This work recently resulted in a PhD thesis by Kristina Lidayová.
Our research at CBA also covers many other things. The first full professor in image analysis at the centre, starting 1993, was Gunilla Borgefors. She is well established in the field of digital geometry where she has made several fundamental contributions. Those methods are used in many of our applied projects both by her students and mine. One of her former students, Robin Strand is currently head of our Vi2 division. He and Filip Malmberg are working in close collaboration with the Radiology Department at Uppsala University developing fundamental medical image analysis algorithms.
A non-medical application area is our project on reading old handwritten documents headed by Anders Brun in collaboration with Anders Hast and several other researchers. We also have research on computer graphics and visualisation at Uppsala University with Stefan Seipel and Anders Hast.
For a much more complete account of our research I refer to the other web-pages at www.cb.uu.se e.g. the personal web-pages of my colleagues and students and in particular to our annual report which each year lists all our ongoing projects, publications, collaboration partners and other activities.
Publikationer
Senaste publikationer
- AI based prostate analysis system trained without human supervision to predict patient outcome from tissue samples (2022)
- Image analysis in digital pathology (2019)
- Special Section on Image Cytometry (2019)
- Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes (2019)
- Detection of Malignancy-Associated Changes Due to Precancerous and Oral Cancer Lesions: A Pilot Study Using Deep Learning (2018)
Alla publikationer
Artiklar
- AI based prostate analysis system trained without human supervision to predict patient outcome from tissue samples (2022)
- Image analysis in digital pathology (2019)
- Special Section on Image Cytometry (2019)
- Computer-aided diagnostics in digital pathology (2017)
- Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation (2017)
- A chronological and mathematical overview of digital circle generation algorithms (2016)
- Fast vascular skeleton extraction algorithm (2016)
- Automated classification of glandular tissue by statistical proximity sampling. (2015)
- Automated Classification of Glandular Tissue by Statistical Proximity Sampling (2015)
- Computer Assisted Pap Smear Analyser for Cervical Cancer Screening using Quantitative Microscopy (2015)
- Acrosome integrity assessment of boar spermatozoa images using an early fusion of texture and contour descriptors (2015)
- Simulation of bright-field microscopy images depicting pap-smear specimen (2015)
- Image segmentation and identification of paired antibodies in breast tissue (2014)
- Screening for Cervical Cancer Using Automated Analysis of PAP-Smears (2014)
- 3D Texture Analysis in Renal Cell Carcinoma Tissue Image Grading (2014)
- Blind Color Decomposition of Histological Images (2013)
- Color deconvolution method for breast tissue core biopsy images cell nuclei detection and analysis using multiresolution techniques (2013)
- Analysis of nuclei textures of fine needle aspirated cytology images for breast cancer diagnosis using complex Daubechies wavelets (2013)
- Debris removal in Pap-smear images (2013)
- Characterization and reduction of noise in dynamic PET data using masked volumewise principal component analysis (2011)
- Effects of aging and gender on the spatial organization of nuclei in single human skeletal muscle cells (2010)
- Signal Extraction and Separation in In Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis (2010)
- Improved methodology for identifying the teratogenic potential in early drug development of hERG channel blocking drugs (2010)
- Vectorized table driven algorithms for double precision elementary functions using taylor expansions (2009)
- Effects of ageing and gender on the spatial organisation of nuclei in single human skeletal muscle cells (2009)
- Effects of ageing and gender on the spatial organization of nuclei in single human skeletal muscle cells (2009)
- Myonuclear domain size and myosin isoform expression in muscle fibres from mammals representing a 100 000-fold difference in body size (2009)
- Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos (2009)
- Performance of Principal Component Analysis and Independent Component Analysis with Respect to Signal Extraction from Noisy Positron Emission Tomography Data (2009)
- Estimating human limb motion using skin texture as virtual markers (2008)
- A toolkit for interactive medical image visualization and segmentation with haptics (2008)
- Finding cells, finding molecules, finding patterns (2008)
- Application of underwater hyperspectral data for color correction purposes (2007)
- A new application of pre-normalized principal component analysis for improvement of image quality and clinical diagnosis in human brain PET studies - Clinical brain studies using [C-11]-GR205171, [C-11]-L-deuterium-deprenyl, [C-11]-5-hydroxy-L-tryptophan, [C-11]-L-DOPA and Pittsburgh Compound-B (2006)
- Volume-Wise Application of Principal Component Analysis on Masked Dynamic PET Data in Sinogram Domain (2006)
- Non-isotropic noise correlation in PET data reconstructed by FBP but not by OSEM demonstrated using auto-correlation function (2005)
- Noise correlation in PET, CT, SPECT and PET/CT data evaluated using autocorrelation function: a phantom study on data, reconstructed using FBP and OSEM. (2005)
- Robust cell image segmentation methods (2004)
- Image Analysis for Automatic Segmentation of Cytoplasms and Classification of Rac1 Activation (2004)
- Combining intensity, edge, and shape information for 2D and 3D segmentation of cell nuclei in tissue sections (2004)
- A feature set for cytometry on digitized microscopic images (2003)
- Abnormal expression pattern of cyclin E in tumour cells (2003)
- Sequential immunofluorescence staining and image analysis for detection of large numbers of antigens in individual cell nuclei (2002)
- Automatic registration and error detection of multiple slices using landmarks (2001)
- A detailed analysis of cyclin A accumulation at the G1/S border in normal and transformed cells. (2000)
- Biopsy protocol stability in a three-dimensional model of prostate cancer (1999)
- Three-dimensional computer reconstruction of prostate cancer from radical prostatectomy specimens (1999)
- Modeling prostate cancer distributions (1999)
- Automatic quantification of immunohistochemically stained cell nuclei based on standard reference cells (1998)
- A Computer Program for Logistic Prediction Modelling (1985)
- Predicting Breast Cancer Recurrence (1982)
- Cardiac Glycosides and Breast Cancer Revised (1982)
Böcker
- Centre for Image Analysis Annual Report 2009 (2010)
- Annual Report 2008 (2009)
- Interaction in medical image analysis and visualization (2007)
- IT i skolan mellan vision och praktik (2000)
Kapitel
- Rapid prototyping of image analysis applications (2011)
- An alternative model for shading of diffuse light for rough materials (2008)
- Trigonometric splines (2008)
- Minimal Acceleration Hermite Curves (2005)
- A modified Phong-Blinn light model for shadowed areas (2003)
Konferenser
- Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes (2019)
- Detection of Malignancy-Associated Changes Due to Precancerous and Oral Cancer Lesions: A Pilot Study Using Deep Learning (2018)
- Brush Biopsy For HR-HPV Detection With FTA Card And AI For Cytology Analysis - A Viable Non-invasive Alternative (2018)
- Image processing and its hardware support (2017)
- Classification of cross-sections for vascular skeleton extraction using convolutional neural networks (2017)
- Deep convolutional neural networks for detecting cellular changes due to malignancy (2017)
- Automatic grading of breast cancer from whole slide images of Ki67 stained tissue sections (2016)
- Microscopy image enhancement for cost-effective cervical cancer screening (2015)
- Quantitative and automated microscopy (2014)
- Optimizing optics and imaging for pattern recognition based screening tasks (2014)
- A Structural Texture Approach for Characterising Malignancy Associated Changes in Pap Smears Based on Mean-Shift and the Watershed Transform (2014)
- Cluster detection and field-of-view quality rating (2013)
- An Algorithm for Parallel Calculation of Trigonometric and Exponential Functions (2013)
- Cluster detection in cytology images using the cellgraph method (2012)
- An Investigation on Nuclei of Histopathological Images using Curvelet Statistical Features (2012)
- Smart Paint (2012)
- Automated segmentation of free-lying cell nuclei in Pap smears for malignancy-associated change analysis (2012)
- The CerviSCAN project (2011)
- Recognizing signs of malignancy (2010)
- Image-based comparison of pre-modern coins and medals (2010)
- PAPSYNTH (2010)
- Relaxed Image Foresting Transforms for Interactive Volume Image Segmentation (2010)
- Two Non-linear Parametric Models of Contrast Enhancement for DCE-MRI of the Breast Amenable to Fitting Using Linear Least Squares (2010)
- Vectorized table driven algorithms for double precision elementary functions using Taylor expansions (2009)
- Vectorized table driven algorithms for double precision elementary functions using Taylor expansions (2009)
- Spectral Angle Histogram (2009)
- Dimensionality Reduction for Colour Based Pixel Classification (2009)
- Segmentation and Visualization of 3D Medical Images through Haptic Rendering (2009)
- Algorithms for cross-talk suppression in fluorescence microscopy (2008)
- Measuring Heart Rate from Rat Embryo Videos (2008)
- Fully Automatic Heart Beat Rate Determination in Digital Video Recordings of Rat Embryos (2008)
- The biotech industry in the Uppsala region - result of academic research and private entrepreneurship (2007)
- Analysis of 3D images of molecules, cells, tissues and organs (2007)
- The spatial distribution of nuclei in single skeletal muscle cells as visualised by 3-D images: (2007)
- Analysis of Skeletal Fibers in Three Dimensional Images (2007)
- Analysis of Skeletal Fibers in Three Dimensional Images (2007)
- Hardware-accelerated volume visualisation of parametrically mapped dynamic breast MRI data (2007)
- Incremental Spherical Interpolation with Quadratically Varying Angle (2006)
- Possibilities in using skin texture based image registration for movement analysis (2006)
- Finding cells, finding molecules, finding patterns (2006)
- Connected Minimal Acceleration Trigonometric Curves (2005)
- Computerized Cell Image Processing in Healthcare (2005)
- Automatic Tracking of Neural Stem Cells (2005)
- Dynamic breast MRI visualised through colour mapping (2005)
- Visualisation of the pattern of contrast enhancement in dynamic breast MRI (2005)
- Digital image processing for multiplexing of single molecule detection (2005)
- Pre-Processing of Underwater Images Taken in shallow Water for Color Reconstruction Purposes (2005)
- Dissolved Organic Matters Impact on Colour (2005)
- Modeling stem cell migration by Hidden Markov (2004)
- Haptic guided seeding of MRA images for semi-automatic segmentation (2004)
- Time-lapse microscopy and image analysis for tracking stem cell migration (2004)
- Computerized Cell Image Analysis: Past, Present and Future (2003)
- A modified Phong-Blinn light model for shadowed areas (2003)
- Modelling of shapes without landmarks (2003)
- Modelling non-linearities in images using an auto-associativeneural network (2003)
- Watershed techniques for segmentation in image cytometry (2003)
- Segmentation of cell nuclei in tissue by combining seeded watersheds with gradient information (2003)
- Robust methods for image segmentation and measurements. (2003)
- Reconstruction Filters for Bump Mapping (2002)
- Detection of large numbers of antigens using sequential immunofluorescence staining (2001)
- Statistical quality control for segmentation of fluorescence labelled cells (2001)
- Analysis of cells using image data from sequential immunofluorescence staining experiments (2001)
- Multiple tissue antigen analysis by sequential immunofluorescence staining and multi-dimensional image analysis (2001)
- Multi-dimensional image analysis of sequential immunofluorescence staining (2001)
- Automatic cytoplasm segmentation of fluorescence labelled cells (2000)
- Cervical Pre-screening Using Computerized Image Analysis (1983)
- Algorithms for Cluster Analysis (1983)
- Computer-assisted Scanning Microscopy in Cytology (1982)
- Object Oriented Cell Image Segmentation (1982)
- Analysing the Factors That Make Breast Cancer Recur (1982)
- Segmentation of Cell Images by Minimum Error Thresholding (1981)
- Bedömning av återfallsrisk vid bröstcancer (1981)
- Factors of Prognostic Significance in Human Breast Cancer (1981)