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Алгоритм регрессивного волнового выращивания областей АСМ-изображений

Рабцевич, В. В., Цветков, В. Ю., Rabtsevich, V. V., Tsviatkou, V. Yu.

поворота и значительным перепадам яркости.Suggested method for segmentation of images based on the quasi

Using NVIDIA multicore graphics processors in image decoding

Kozlov I.

, segmentation, and correction of the segmentation of zones of interest by images of locally homogeneous scenes

Оценка эффективности алгоритмов сегментации АСМ-изображений

Рабцевич, В. В., Цветков, В. Ю.

Efficiency Evaluation of Segmentation Аlgorithms for AFM Images

Analysis of thick and thin vessel pixel clustering for retinal blood vessel image segmentation

Chernomorets, D. A., Mikhelev, V. M., Chernomorets, A. A., Batishchev, D. S., Bolgova, E. V.

of the dependence of the blood vessel segmentation results on the image of the eye fundus from various partitions

Contour processing of texture Images

Tsviatkou, V. Y., Alzakki, H. M.

Contour processing of texture Images

Multiscale approach of retinal blood vessels segmentation based on vessels segmentation with different scales

Chernomorets, D., Mikhelev, V., Chernomorets, A.

In this work, the authors developed retinal blood vessels segmentation approach using contrast

Algorithm for the Analysis of Pigment Network Characteristics in Diagnosing Melanoma

Nikitaev V.G., Tamrazova O.B., Pronichev A.N., Sergeev V.Y., Druzhinina E.A.

network segments in the local areas of the neoplasm from the average value of the lengths of the pigment

Detection of Circles as Structural Elements in Dermatoscopic Images of Skin Neoplasms in the Diagnosis of Melanoma

Nikitaev V.G., Pronichev A.N., Tamrazova O.B., Sergeev V.Y., Medvedeva O.A., Kozlov V.S., Solomatin M.A.

proposed. An RDS-2 dermatoscope has been used for imaging. Special software has been developed to implement

Visual Data Processing Framework for a Skin-Based Human Detection

Myrzin V., Tsoy T., Bai Y., Svinin M., Magid E.

gradients (RIHOG) features and binarized normed gradients (BING) pre-processing and skin segmentation

Edge-guided and hierarchical aggregation network for robust medical image segmentation

Yi Tang, Di Zhao, Pertsau, D., Gourinovitch, A., Kupryianav, D.

Medical image segmentation with the convolutional neural networks (CNNs), significantly enhances

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