… approach by implementing the wavelet decomposition accompanied with the polarization-…
of local changes in the poly-crystalline structure of tissue samples with various pathology. …

… It is demonstrated that the wavelet decomposition reveals details in the malignant and …
which correlate with their pathological representations. The wavelet decomposition is applied to …

… assigns a Gleason grade based on the pathological tissue pattern present in the tissue …
very similar to normal tissues. We used Haar Wavelet filter for wavelet decomposition up to level …

… For prostate, biopsied tissue is stained by hematoxyline and eosine method and viewed by
… wavelet packet transform, which extends filter bank to high resolutions. We first decomposed …

… pathologists to categorize the breast microscopic structures into normal, benign, and carcinomas
lesions [4]. The benign lesions are non-cancerous disorders in normal tissues … in tissue …

… Precise histopathological classification of CRC tissue pathology is the … studied tissue tiles
were subjected to wavelet decomposition up to six layers and using the six discrete wavelet …

… Wavelet decomposition has been successful in image … been more successful than scalar
wavelet in image denoising [6]. … In our experiments, 100 graded prostate tissue sample images …

… Detection of pathologic lung tissue patterns is the first step towards an image–… Wavelets
come into two flavors: bases or frames. Wavelet bases provide a one-to-one decomposition (that …

… to discriminate between normal and pathologic tissue by using single parameters, thus …
decomposed into its diffuse d(n) and coherent c(n) components using the wavelet decomposition …

… Block diagram of the filter bank performing 2-dimensional wavelet decomposition. The
input into the filter bank is the original textured image (f 2 j+1 ). Low-pass and high-pass filters …