Mitigating Class Confusion in Class-Incremental Semantic Segmentation by Nayoung Ko, Gyeong-Hyeon Kim, Eunwoo Kim

“…Class-incremental semantic segmentation (CSS) aims to continuously classify every pixel in an image to its corresponding semantic class. …”
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Attention residual network for medical ultrasound image segmentation by Honghua Liu, Peiqin Zhang, Jiamin Hu, Yini Huang, Shanshan Zuo, Lu Li, Mailan Liu, Chang She

“…In the wake of the advancement of deep learning, its application in medical image segmentation is becoming increasingly prevalent. For instance, while the U-Net model has demonstrated a favorable performance in medical image segmentation, the convolution layers of the traditional U-Net model are relatively simplistic, leading to suboptimal extraction of global information. …”
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Localization and Pixel-Confidence Network for Surface Defect Segmentation by Yueyou Wang, Zixuan Xu, Li Mei, Ruiqing Guo, Jing Zhang, Tingbo Zhang, Hongqi Liu

“…To address these issues, this study proposes a two-stage image segmentation network that integrates a Defect Localization Module and a Pixel Confidence Module. …”
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State of the art in acute glaucoma attack predisposition issue by N. A. Bakunina

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SOME ISSUES OF SURGICAL TREATMENT POLICY FOR LARYNX CANCER by E. A. Glezerov, D. S. Svyatoslavov, V. D. Skvirsky, D. V. Rogozhin

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Methodological Issues in Analyzing Financial Development in the Context of ESG by K. V. Krinichansky, B. B. Rubtsov

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Taxation of personal income in the context of issues of social fairness by N. M. Artemov, K. A. Ponomareva

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High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise by Haiping Jiang, Salah Bourennane, Caroline Fossati

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Stereo Image Segmentation Based on Graph Cut and Visual Correlation by Qingyan Dai, Zhongjie Zhu

“…Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.…”
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Stereo Image Segmentation Based on Graph Cut and Visual Correlation by Qingyan Dai, Zhongjie Zhu

“…Stereo image segmentation is a crucial and difficult issue in the field of object-based stereo image processing.By improving the Grabcut algorithm and exploiting the inter-view correlations,a novel stereo image segmentation scheme was proposed.The original left image was firstly transformed into a super-pixel image by improving the Slic algorithm.Then the super-pixel image was segmented and the foreground object in the left image is extracted based on the framework of Grabcut,where the energy function was rebuilt.Finally,by exploiting the inter-view correlations between the left and the right images,the foreground object in the right image was obtained based on contour correspondence by fusing color and texture features.The experimental results show that the proposed algorithm is more efficient and can achieve better segmentation results than the existing methods.…”
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Application of Semi-Supervised Mean Teacher to Rock Image Segmentation by Jiashan Li, Yuxue Wang

“…To address the issue of requiring a large number of labeled images for model training in traditional image segmentation methods, this paper proposes an improved semi-supervised Mean Teacher algorithm based on ResNet34-UNet. …”
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Management of Sternal Segment Dislocation in a Child with Closed Reduction by Omer Soysal, Osman Cemil Akdemir, Sedat Ziyade, Murat Ugurlucan

“…Dislocation of a sternal segment in the childhood period is very rare as for sternal fractures in children. …”
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Segmentation study of nanoparticle topological structures based on synthetic data. by Fengfeng Liang, Yu Zhang, Chuntian Zhou, Heng Zhang, Guangjie Liu, Jinlong Zhu

“…However, in materials science, the acquisition of training images requires a large number of professionals and the labor cost is extremely high, so there are usually very few training samples in the field of materials. In this study, a segmentation method of nanoparticle topological structure based on synthetic data (SD) is proposed, which aims to solve the issue of small data in the field of materials. …”
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BEHAVIORAL SEGMENTATION OF CUSTOMERS: RFM MODEL AND K-MEANS APPLICATION by Thanh L.T.P., Liaw S.-Y., Hien N.T.

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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“…To better address, this issue, a variety of measurement standards have been suggested to decide the consistency of the segmentation outcome. …”
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A brain tumor segmentation method based on attention mechanism by Juan Cao, Jinjia Liu, Jiaran Chen

“…Additionally, a spatial attention module (SPA) is introduced to establish global feature correlations, critical for accurate tumor segmentation. To address class imbalance, which can hinder performance, we propose BADLoss, a loss function tailored to mitigate this issue. …”
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Exploring the spatial segmentation of housing markets from online listings by David Abella, Johann H. Martínez, Mattia Mazzoli, Julien Migozzi, Thibault Le Corre, Eduard Alonso-Paulí, Rafel Crespí-Cladera, Thomas Louail, José J. Ramasco

“…This methodology addresses the long-standing issue of housing market segmentation, relevant in disciplines such as urban studies and spatial economics, and with implications for policymaking.…”
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Evaluation of synthetic data impact on fire segmentation models performance by Matej Arlovic, Franko Hrzic, Mitesh Patel, Tomasz Bednarz, Josip Balen

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Interactive image segmentation algorithm based on adaptive kernel learning by LONG Jianwu, LI Jihao

“…To address the issue that most existing interactive image segmentation methods suffer from limited segmentation performance due to their susceptibility to noise interference and non-convex structure impacts in the original feature space, an adaptive kernel learning-based interactive image segmentation algorithm was proposed. …”
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An Improved Small Target Segmentation Model Based on Mask Dino by Jun Yang, Xu Chen, Yun Guan, Yixuan Hu, Gang Ge

“…To address the issue of low segmentation accuracy for small objects in the Mask Dino segmentation method, we propose an improved small object segmentation model called FFMask Dino. …”
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