Browsing by Author "Karaçali, B."
Now showing items 1-7 of 7
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Analytical and predictive quasi-supervised learning for cancer recognition in digital cytology [Di?ji?tal si?toloji?de kanser tanima i?çi?n anali?ti?k ve öngörüsel yari-güdümlü ö?renme]
Karaçali, B. (2012)In this work, cancer recognition in digital cytology data was carried out using quasi-supervised learning. The data subject to recognition contained ground-truth data only in the form of a labeled set of cancer-free samples ... -
Automated classification of cancerous textures in histology images using quasi-supervised learning algorithm [Histoloji görüntülerinde kanserli desenlerin yari güdümlü ö?renme yöntemiyle tam otomatik siniflandirilmasi]
Önder, D.; Sario?lu, S.; Karaçali, B. (2010)The aim of this work is to perform automated texture classification of histology slide images in health and cancerous conditions using quasi-supervised statistical learning method. Tissue images were acquired from histological ... -
Automated clustering of histology slide texture using co-occurrence based grayscale image features and manifold learning [Gri seviye birliktelik matrisi öznitelikleri ve manifold ö?renme yardimiyla histoloji görüntülerinde otomatik doku siniflandirilmasi]
Önder, D.; Karaçali, B. (2009)The aim of this work is to perform automated texture classification of histology slides using grayscale images and manifold learning method. Texture feature vectors were obtained using local gray scale co-occurrence matrices ... -
Automated labeling of electroencephalography data using quasi-supervised learning [Elektroensefalografi? veri?leri?ni?n yari- güdümlü ö?renme i?le otomati?k olarak i?şaretlenmesi?]
Köktürk, B.E.; Karaçali, B. (2012)In this study, the separation of the stimulus effects from the baseline was investigated in electroencephalography data recorded under different visual stimuli using quasi-supervised learning. The data feature vectors were ... -
Deformation field interpolation using rotational landmarks [Yönelimli eşlenik noktalar ile deformasyon alani ara-de?erlemesi]
Karaçali, B. (2010)In this paper, we present a novel method for landmark-based deformation field interpolation that incorporates the rotation information for use in curved medical image registration applications. To this end, each Cartesian ... -
Hierarchical motif vectors for amino acid sequence alignment
Karaçali, B. (2012)We present a new framework for global and local alignment of amino acid sequences based on hierarchical motif vectors that characterize local amino acid configurations. The motif vectors are constructed by carrying out ... -
Identification and evaluation of landmarks for deformable alignment of multi-modality medical images [Farkli kontrastli medi?kal görüntülerde elasti?k hi?zalama i?çi?n ni?rengi? noktalarinin beli?rlenmesi? ve sinanmasi]
Karaçali, B. (2011)In this study, automatic identification of landmarks was carried out on real double-echo PD/T2 Magnetic Resonance images for use in multi-modality deformable image registration algorithms. To this end, the corner points ...
