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Сегментация и компактное многомасштабное представление изображений на основе прогрессивной обратной кластеризации

Альмияхи, О. М., Цветков, В. Ю., Макейчик, Е. Г.

сегментации.Developing a method of segmentation and compact multiscale representation of images based

Блочное волновое выращивание областей изображения на основе квадросеток пикселей

Альмияхи, О. М., Цветков, В. Ю., Конопелько, В. К., Almiahi, O. M., Tsviatkou, V. Yu., Kanapelka, V. K.

квадросетки.Algorithms for fast segmentation of gray scale images based on the block of the wave

Выбор начальных точек волнового выращивания областей по гистограмме яркости изображений

Альмияхи, О. М., Козак, М. В., Алисеенко, М. А., Конопелько, В. К., Almiahi, O. M., Kazak, M. V., Aliseyenka, M. A., Kanapelka, V. K.

of the segmented image compared with the algorithms of selection of the initial seed points of growth

Recognition of Tomographic Images in the Diagnosis of Stroke

Kalmutskiy Kirill

with the classification and segmentation of images. We also proposed a way to increase the interpretability of the model.

Performance Analysis of Deep Learning Models for Heart Segmentation in Chest X-ray Images on a Small Dataset

Rdzhabov, A., Kovalev, V.

segmentation on chest x-ray images. The information obtained can be used to improve the algorithms

Automation of the Study of Radiologically Isolated Syndrome in Multiple Sclerosis

Kosik, I., Nedzved, A., Karapetsian, R., Yashina, V., Gurevich, I.

images. For increase quality the specific image preprocessing improves quality of dataset and results

Segmentation of Breast Focal Lesions on the Ultrasound Image

Egoshin I.A., Pasynkov D.V., Kolchev A.A., Kliouchkin I.V., Pasynkova O.O.

© 2020, Springer Science+Business Media, LLC, part of Springer Nature. An image segmentation

Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning

Rajasekar E., Chandra H., Pears N., Vairavasundaram S., Kotecha K.

by subtle symptoms. The diagnosis typically requires expert analysis of lung image scans, where both

Analysis of the basic neural network approaches to the problem of the instance segmentation

Боброва, Н. Л., Харкевич, А. П., Стецко, В. Ю.

This paper reviews two popular neural network models for performing instance segmentation

Efficiency of Segmenting Zones of Interest in Locally Hhomogeneous Scenes

Fofanov V., Zhiznevskii A.

We explore the possibilities of segmenting zones of interest on locally homogeneous scenes by some

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