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

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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

“…In this research, the brain images resulting from computerized tomography  (CT) have been used in order to determine the tumor area in the brain. the steps started by preprocessing operation to the image before inputting it to algorithm .the image was converted to binary image in order to segment the image, later on into equal segments ,then the correlation coefficient  was found among these segments ,these values used as fitness function in the genetic algorithm in order to different iate between segments ,the result of the genetic algorithm was segment numbers which will be merged to form the sub-images ,then continuing these steps till determining the tumor approximate location. …”
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Supervised Semantic Segmentation of Urban Area Using SAR by Joanna Pluto-Kossakowska, Sandhi Wangiyana

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Using Stacks for Image Segmentation Based on Region Growing by V. Yu. Tsviatkou

“…A comparative assessment of the stack sizes required for image segmentation showed that using the FIFO stack is preferable to the LIFO stack and leads to significant memory savings.…”
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Improving Extension Program Development Using Audience Segmentation by Paul Monaghan, Laura Warner, Ricky Telg, Tracy Irani

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Occlusion‐invariant face recognition using simultaneous segmentation by Dan Zeng, Raymond Veldhuis, Luuk Spreeuwers, Richard Arendsen

“…Abstract When using convolutional neural network (CNN) models to extract features of an occluded face, the occluded part will inevitably be embedded into the representation just as with other facial regions. …”
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SEGMENTATION OF OBJECTS ON BIOMEDICAL IMAGES USING LIBRARIES OF TEMPLATES by M. M. Alilou, M. V. Sprindzuk

“…The purpose of this paper is to introduce a robust framework to facilitate simultaneous detection and segmentation of objects with arbitrary size and shape on different kinds of medical images using a library of arbitrary irregular smooth shapes.…”
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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…To address this limitation, we propose segmentation of the autonomous driving environment using vector quantization. …”
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Hierarchical Transfer Learning with Transformers to Improve Semantic Segmentation in Remote Sensing Land Use by Miaomiao Chen, Lianfa Li

Subjects: “…land use…”
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