Temat: mammograms - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Adaptive wavelet techniques for compressing digital mammograms
Autorzy:: Bruckmann, A.
Flatscher, H.
Schell, T.
Uhl, A.
Powiązania:: https://bibliotekanauki.pl/articles/1954514.pdf
Data publikacji:: 1999
Wydawca:: Politechnika Gdańska
Tematy:: wavelet compression
wavelet packet
time-varying decomposition
NSMRA
mammograms
Opis:: In this work we investigate the possible benefit of employing adaptive wavelet algorithms instead of the classical fixed pyramidal wavelet decomposition for the compression of digital mammograms. In particular, we target on adaptive wavelet packet and NSMRA decompositions. We observe that information cost function optimized wavelet packet subband structures do not offer compression performance gain in this case whereas NSMRA decompositions moderately improve the results of classical wavelet decompositions. Due to the lack of fast and reliable search algorithms fixed NSMRA decompositions need to be generated and employed for classes of similar images.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 1999, 3, 4; 381-396
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Analysis of suspicious lesions in digital mammograms
Autorzy:: Choraś, R. S.
Powiązania:: https://bibliotekanauki.pl/articles/333369.pdf
Data publikacji:: 2011
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: sterowane filtry
mammografie
wychwytywanie cech
klasyfikacja
steerable filters
mammograms
moment and texture features
feature extraction
classification
Opis:: The system using steerable filters for analysis suspicious lesions in mammograms is proposed. This system is based on moments and texture features. The set of well defined and classified suspicious lesions regions from mammograms database are used as a reference pattern. The similarity measure for reference pattern image and patient mammogram is found by computing the distance between their corresponding feature vectors. The Euclidean distance metric is used to finding the nearest class to patient feature vector what in result mark the automatically classify this mammograms.
Źródło:: Journal of Medical Informatics & Technologies; 2011, 17; 151-158
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Multiscale modeling of local directional mammogram findings
Autorzy:: Jasionowska, M
Przelaskowski, A.
Powiązania:: https://bibliotekanauki.pl/articles/333375.pdf
Data publikacji:: 2011
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: transformacje wielozakresowe
złożone falki
dyskretne falki
lokalne znalezienie kierunku
mammografia
multiscale transformations
complex wavelets
discrete wavelets
directional local findings
mammograms
Opis:: In this paper two multiresolution transforms (discrete 2D wavelets and complex wavelets) are compared for their capabilities to enhance local texture orientation of mammograms. The local orientation of image texture is useful feature to detect one of the typical types of abnormal findings in mammography - architectural distortions. Our research was directed to define an effective, more reliable directional model of local directional findings in mammograms. Computer-aided diagnosis was considered as a concept of accurate model application.
Źródło:: Journal of Medical Informatics & Technologies; 2011, 17; 183-190
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

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