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IMAGE SEGMENTATION AND OBJECT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORK TECHNOLOGY
Надежность и качество сложных систем, 2021 Background. An analysis of the processes of image segmentation is being carried out. An original method of image segmentation using a convolutional neural network is proposed. Materials and methods.
A.I. Godunov, S.T. Balanyan, P.S. Egorov
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Model-based learning of local image features for unsupervised texture segmentation
, 2017 Features that capture well the textural patterns of a certain class of images are crucial for the performance of texture segmentation methods. The manual selection of features or designing new ones can be a tedious task.
Kiechle, Martin +3 more
core +1 more source
MCMC algorithm based on Markov random field in image segmentation.
PLoS ONEIn the realm of digital image applications, image processing technology occupies a pivotal position, with image segmentation serving as a foundational component.
Huazhe Wang, Li Ma
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Applying morphology to improve Canny operator's image segmentation method
The Journal of Engineering, 2019 When a single image segmentation method is used for image segmentation of wind turbine blade images under a complex background, the results obtained are not accurate and complete.
Hongyun Xu, Xiaoli Xu, Yunbo Zuo
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Visual-hint Boundary to Segment Algorithm for Image Segmentation [PDF]
, 2010 Image segmentation has been a very active research topic in image analysis area. Currently, most of the image segmentation algorithms are designed based on the idea that images are partitioned into a set of regions preserving homogeneous intra-regions ...
Dunham, Margaret H., Su, Yu
core
Evolutionary image segmentation [PDF]
, 1997 We describe an approach to image segmentation based on a two-layer module that is executed until a good segmentation is achieved, providing an evolution of previous segmentation results at each execution. The first layer performs a global segmentation of an image of decreasing area at each evolution by adopting a genetic algorithm learning technique to
Zingaretti P., Carbonaro A., Puliti P.
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FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
IEEE Access, 2020 The emergence of 4D heart images makes the data volume of the images multiply. It is more urgent to require an effective and fast segmentation algorithm.
Hui Liu, Wen Chu, Hua Wang
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The semiotics of medical image Segmentation [PDF]
Medical Image Analysis, 2018 As the interaction between clinicians and computational processes increases in complexity, more nuanced mechanisms are required to describe how their communication is mediated. Medical image segmentation in particular affords a large number of distinct loci for interaction which can act on a deep, knowledge-driven level which complicates the naive ...
Terry M. Peters +5 more
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Insights into PI3K/AKT signaling in B cell development and chronic lymphocytic leukemia
FEBS Letters, EarlyView.This Review explores how the phosphoinositide 3‐kinase and protein kinase B pathway shapes B cell development and drives chronic lymphocytic leukemia, a common blood cancer. It examines how signaling levels affect disease progression, addresses treatment challenges, and introduces novel experimental strategies to improve therapies and patient outcomes.
Maike Buchner
wiley +1 more source