| 1. |
- Alveteg, Mattias, et al.
(författare)
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Vad räknas som belägg för studenters måluppfyllelse?
- 2018
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Ingår i: 10:e Pedagogiska Inspirationskonferensen 2018. - 2003-3761 .- 2003-377X. ; 10
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Konferensbidrag (refereegranskat)abstract
- Universitetskanslerämbetet (UKÄ) ställer numera krav på svenska lärosäten att vi ska utvärdera oss själva. Vi på LTH bör då gemensamt försöka hitta sätt att uppfylla UKÄs krav som även ger de verktyg vi själva behöver för att förbättra våra utbildningars kvalitét.Hur tar vi reda på våra utbildningars styrkor och svagheter och vad vi kan göra för att förbättra dem ytterligare? Ett sätt är att undersöka hur väl studenterna uppfyller examensmålen. Vad som ska räknas som belägg för studenters måluppfyllelse är dock svårt, av flera olika skäl. Vår rekommendation blir att triangulera olika typer av belägg samt att tydligt involvera institutionerna i arbetet.
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| 2. |
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| 3. |
- Astruc, Marine, et al.
(författare)
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Cluster detection and field-of-view quality rating : Applied to automated Pap-smear analysis
- 2013
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Ingår i: Proc. 2nd International Conference on Pattern Recognition Applications and Methods. - : SciTePress. - 9789898565419 ; , s. 355-364
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Konferensbidrag (refereegranskat)abstract
- Automated cervical cancer screening systems require high resolution analysis of a large number of epithelial cells, involving complex algorithms, mainly analysing the shape and texture of cell nuclei. This can be a very time consuming process. An initial selection of relevant fields-of-view in low resolution images could limit the number of fields to be further analysed at a high resolution. In particular, the detection of cell clusters is of interest for nuclei segmentation improvement, and for diagnostic purpose, malignant and endometrial cells being more prone to stick together in clusters than other cells. In this paper, we propose methods aiming at evaluating the quality of fields-of-view in bright-field microscope images of cervical cells. The approach consists in the construction of neighbourhood graphs using the nuclei as the set of vertices. Transformations are then applied on such graphs in order to highlight the main structures in the image. The methods result in the delineation of regions with varying cell density and the identification of cell clusters. Clustering methods are evaluated using a dataset of manually delineated clusters and compared to a related work.
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| 4. |
- Bengtsson, Ewert, et al.
(författare)
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Screening for Cervical Cancer Using Automated Analysis of PAP-Smears
- 2014
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Ingår i: Computational & Mathematical Methods in Medicine. - : Hindawi Publishing Corporation. - 1748-670X .- 1748-6718. ; 2014, s. 842037:1-12
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Forskningsöversikt (refereegranskat)abstract
- Cervical cancer is one of the most deadly and common forms of cancer among women if no action is taken to prevent it, yet it is preventable through a simple screening test, the so-called PAP-smear. This is the most effective cancer prevention measure developed so far. But the visual examination of the smears is time consuming and expensive and there have been numerous attempts at automating the analysis ever since the test was introduced more than 60 years ago. The first commercial systems for automated analysis of the cell samples appeared around the turn of the millennium but they have had limited impact on the screening costs. In this paper we examine the key issues that need to be addressed when an automated analysis system is developed and discuss how these challenges have been met over the years. The lessons learned may be useful in the efforts to create a cost-effective screening system that could make affordable screening for cervical cancer available for all women globally, thus preventing most of the quarter million annual unnecessary deaths still caused by this disease.
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| 5. |
- Bujy, Balakrishnan, et al.
(författare)
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A fast and reliable approach to cell nuclei segmentation in PAP stained cervical smears
- 2013
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Ingår i: CSI Transactions on ICT. - : Springer India. - 2277-9078 .- 2277-9086.
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Tidskriftsartikel (refereegranskat)abstract
- Fast and reliable segmentation of cervical cellnuclei is one of the crucial steps of an automated screeningsystem that aims early detection of cervical cancer. In thispaper, we propose an edge based approach using custom-ized Laplacian of Gaussian (LoG) filter to segment freelying cell nuclei in bright-field microscope images of Papsmear. The LoG is generally employed as a second orderedge detector in image processing. The images may havethe challenges of inconsistent staining, overlapping andfolded cells. Experimenting proposed method over all typesof cervical images including sufficient number of highgrade lesions of cervical cancer shows that our methodperforms well for stain varied images containing focusednuclei.
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| 6. |
- Chandran, P. S., et al.
(författare)
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Cluster detection in cytology images using the cellgraph method
- 2012
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Ingår i: Information Technology in Medicine and Education (ITME), 2012 International Symposium. - 9781467321099 ; , s. 923-927
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Konferensbidrag (refereegranskat)abstract
- Automated cervical cancer detection system is primarily based on delineating the cell nuclei and analyzing their textural and morphometric features for malignant characteristics. The presence of cell clusters in the slides have diagnostic value, since malignant cells have a greater tendency to stick together forming clusters than normal cells. However, cell clusters pose difficulty in delineating nucleus and extracting features reliably for malignancy detection in comparison to free lying cells. LBC slide preparation techniques remove biological artifacts and clustering to some extent but not completely. Hence cluster detection in automated cervical cancer screening becomes significant. In this work, a graph theoretical technique is adopted which can identify and compute quantitative metrics for this purpose. This method constructs a cell graph of the image in accordance with the Waxman model, using the positional coordinates of cells. The computed graph metrics from the cell graphs are used as the feature set for the classifier to deal with cell clusters. It is a preliminary exploration of using the topological analysis of the cellgraph to cytological images and the accuracy of classification using SVM showed that the results are well suited for cluster detection.
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| 7. |
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| 8. |
- Klasson, Stina, et al.
(författare)
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Preoperative CT angiography versus Doppler ultrasound mapping of abdominal perforator in DIEP breast reconstructions: A randomized prospective study.
- 2015
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Ingår i: Journal of Plastic, Reconstructive and Aesthetic Surgery. - : Elsevier BV. - 1878-0539 .- 1748-6815. ; 68:6, s. 782-786
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Tidskriftsartikel (refereegranskat)abstract
- Is there a difference in surgery time and complication rate when Doppler ultrasound (US) is used for the preoperative mapping of perforators in comparison with computer tomography angiography (CTA)? Women who were candidates for breast reconstruction using the deep inferior epigastric perforator (DIEP) free flap were enrolled in a prospective randomized study. The operating time was 249 ± 62 min (mean ± SD) in the CTA group (n = 32) and 255 min ± 75 in the US group (n = 31) - hence a difference of 6 min on average. No flaps were lost. Sixteen complications occurred in 15 patients: seven in the CTA group and nine in the US group. Complications were remedied without delay and all patients came through with a favorable reconstruction. Preoperative mapping of perforators with US is satisfactory enough provided the microsurgery team has proper experience in breast reconstruction with the DIEP flap.
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| 9. |
- Lindblad, Joakim, et al.
(författare)
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Optimizing optics and imaging for pattern recognition based screening tasks
- 2014
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Ingår i: Proceedings - International Conference on Pattern Recognition. - : IEEE Computer Society. - 1051-4651. - 9781479952083 ; , s. 3333-3338
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Konferensbidrag (refereegranskat)abstract
- We present a method for simulating lower quality images starting from higher quality ones, based on acquired image pairs from different optical setups. The method does not require estimates of point (or line) spread functions of the system, but utilizes the relative transfer function derived from images of real specimen of interest in the observed application. Thanks to the use of a larger number of real specimen, excellent stability and robustness of the method is achieved. The intended use is exploring the influence of image quality on features and classification accuracy in pattern recognition based screening tasks. Visual evaluation of the obtained images strongly confirms usefulness of the method. The approach is quantitatively evaluated by observing stability of feature values, proven useful for PAP-smear classification, between synthetic and real images from seven different microscope setups. The evaluation shows that features from the synthetically generated lower resolution images are as similar to features from real images at that resolution, as features from two different images of the same specimen, taken at the same low resolution, are to each other.
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| 10. |
- Luengo, Cris, et al.
(författare)
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Rapid prototyping of image analysis applications
- 2011
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Ingår i: Medical Image Processing: Techniques and Applications. - New York, NY : Springer New York. - 9781441997692 ; , s. 5-25
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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