Tooth segmentation on multimodal images using adapted segment anything model by Peijuan Wang, Hanjie Gu, Yuliang Sun

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Segmentation and Isolation of Brain Tumors Using Different Images Segmentation Methods by Ahlam A. Hussain, Sarmad.H. Mahal, Ban S. Ismael

“…To avoid that, in many cases computer is used as an aided method for the segmentation of brain tumor. …”
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Automatic Identification and Segmentation of Overlapping Fog Droplets Using XGBoost and Image Segmentation by Dongde Liao, Xiongfei Chen, Muhua Liu, Yihan Zhou, Peng Fang, Jinlong Lin, Zhaopeng Liu, Xiao Wang

“…For parallel overlapping droplets, the centre-of-mass segmentation method is used; for non-parallel overlapping droplets, the minimum-distance segmentation method is used; and for strong overlapping of a single concave point, the vertical-linkage segmentation method is used. …”
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Automatic Segmentation of the Cisternal Segment of Trigeminal Nerve on MRI Using Deep Learning by Li-Ming Hsu, Shuai Wang, Sheng-Wei Chang, Yu-Li Lee, Jen-Tsung Yang, Ching-Po Lin, Yuan-Hsiung Tsai

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Public Segmentation and the Impact of AI Use in E-Rulemaking by Loarre Andreu Perez, Matthew L. Jensen, Elena Bessarabova, Neil Talbert, Yifu Li, Rui Zhu

“…We show that public segmentation is a key aspect in shaping attitudes and behaviors regarding the use of AI for e-rulemaking purposes. …”
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Segmentation of CAD models using hybrid representation by Claude Uwimana, Shengdi Zhou, Limei Yang, Zhuqing Li, Norbelt Mutagisha, Edouard Niyongabo, Bin Zhou

“…Many previous CAD segmentation methods have achieved impressive performance using single representations, such as meshes, CAD, and point clouds. …”
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POST-HOC SEGMENTATION USING MARKETING RESEARCH by CRISTINEL CONSTANTIN

“…Such methods could be used in post-hoc market segmentations, which allow companies to find segments with specific behaviours or attitudes. …”
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Microc alcification Segmentation Using Modified U-net Segmentation Network from Mammogram Images by Md Shamim Hossain

“…After that, the breast region is segmented from the pectoral region. The suspicious regions are detected using fuzzy C-means clustering algorithm and divided them into negative and positive patches. …”
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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model by Wei Shi, Jun Zhang, YunFan Fu, DanWei Chen, JianPing Zhu, ChunFeng Lv

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Use of Vaginal Packing in the Management of Lower Uterine Segment Atony by Ihsan Bagli, Selami Erdem

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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image by Xiaoqin Wu, Dacheng Wang, Caihong Ma, Yi Zeng, Yongze Lv, Xianmiao Huang, Jiandong Wang

“…Accurate land parcel segmentation in remote sensing imagery is critical for applications such as land use analysis, agricultural monitoring, and urban planning. …”
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Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model by R. Ravindran, Y. Treitz, D. Iwaszczuk

“…This study investigates the use of hyperspectral imagery and dimensionality reduction methods for individual tree-crown (ITC) segmentation, a crucial task in forest monitoring. …”
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Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym by Ray Wang, Tahiya Chowdhury, Alejandra C. Ortiz

“…Building on prior efforts to create reproducible research pipelines for aerial image segmentation, we propose a systematic framework for custom segmentation model development using Segmentation Gym, a software tool designed for efficient model experimentation. …”
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Unsupervised Selection of Color Factor Weight and Segmentation Scale Parameter for Successful Segmentation of Urban Land Use/Land Cover by G. B. Ikokou, K. M. Malale

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Deep learning driven silicon wafer defect segmentation and classification by Rohan Ingle, Aniket K. Shahade, Mayur Gaikwad, Shruti Patil

Subjects: “…Wafer Defect Segmentation and classification using Deep Learning…”
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Using Convolutional Neural Networks for segmentation of brain tumors by Kauã Gabriel Silva de Lima, Vagner Alves Ferreira da Silva, João Victor Oliveira da Silva, Lucas Patrick Ramos de Oliveira, Diogo Lopes da Silva

“… This paper presents a brain tumor segmentation system for MRI images using Convolutional Neural Networks (CNNs). …”
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MUSCLE MRI SEGMENTATION USING RANDOM WALKER METHOD by A. V. Shukelovich, E. V. Snezhko, V. A. Kovalev, A. V. Tuzikov

“…A technique of marker set construction for muscle MRI segmentation using random walker approach is introduced. …”
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Detection and Identification of Dental Caries Using Segmentation Techniques by Noor A. Ibraheem

“…This study tackles the challenge of spotting dental caries using color image analysis. We tested both traditional methods—like Quickshift, Simple Linear Iterative Clustering (SLIC) superpixels, and k-means clustering—combined in the Multi-Step Segmentation with K-Means (MSS-KM) approach, as well as a more advanced deep learning method using YOLOv12 for segmentation. …”
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Segmentation of Brain Tumor Images Using Genetic Algorithms by Mohameed Nathem, Manar Kashmola, Dhuha Abdullah

“…Another approach of image segmentation has been used without using the genetic algorithm by choosing the segments though a certain condition not randomly. …”
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Supervised Semantic Segmentation of Urban Area Using SAR by Joanna Pluto-Kossakowska, Sandhi Wangiyana

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