Morphological image segmentation for detection and classification of PCB defects / by 295624 Siti Hazurah Indera Putera

Color scene image segmentation based on line boundary / by Wong, Choi Hoong, 1988-, author, Aida Ali, 1980-, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

Subjects: “…Image segmentation…”

Learning tool of image segmentation techniques for new learners / by Gan, Song Chiew, 1985-, Nasrul Humaimi Mahmood, Fakulti Kejuruteraan Elektrik

A Review of Image Segmentation Methodologies in Medical Image by Lee, Lay Khoon, Liew, Siau-Chuin, Thong, Weng Jie

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Method of Threshold CT Image Segmentation of Skeletal Bones by Anastasiia Kozei, Nikolay Nikolov, Oleksandr Haluzynskyi, Svitlana Burburska

“…The aim of the paper is development of the technique for automatized CT images segmentation of skeletal bones. Methods. The CT images of bone were segmented based on the developed algorithm, which included: threshold segmentation; morphological transformations of the unbound domains connections, the distance between them does not exceed the set value; the filling of areas with zero values, which are separated by pixels with values 1; comparison of segmentation results for neighboring sections. …”
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An Optimized Image Segmentation Approach Based on Boltzmann Machine by Bahadir Karasulu

“…Image segmentation with complex background is a tedious task. …”
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Brain tumor image segmentation based on improved FPN by Haitao Sun, Shuai Yang, Lijuan Chen, Pingyan Liao, Xiangping Liu, Ying Liu, Ning Wang

“…Abstract Purpose Automatic segmentation of brain tumors by deep learning algorithm is one of the research hotspots in the field of medical image segmentation. An improved FPN network for brain tumor segmentation is proposed to improve the segmentation effect of brain tumor. …”
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Effect of Image Segmentation Thresholding on Droplet Size Measurement by Emanuele Cerruto, Giuseppe Manetto, Salvatore Privitera, Rita Papa, Domenico Longo

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Emerging Applications of Bio-Inspired Algorithms in Image Segmentation by Souad Larabi-Marie-Sainte, Reham Alskireen, Sawsan Alhalawani

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BUSIS: A Benchmark for Breast Ultrasound Image Segmentation by Yingtao Zhang, Min Xian, Heng-Da Cheng, Bryar Shareef, Jianrui Ding, Fei Xu, Kuan Huang, Boyu Zhang, Chunping Ning, Ying Wang

“…Breast ultrasound (BUS) image segmentation is challenging and critical for BUS computer-aided diagnosis (CAD) systems. …”
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Manifold projection image segmentation for nano-XANES imaging by Samantha Tetef, Ajith Pattammattel, Yong S. Chu, Maria K. Y. Chan, Gerald T. Seidler

“…As spectral imaging techniques are becoming more prominent in science, advanced image segmentation algorithms are required to identify appropriate domains in these images. …”
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Deep neural network architectures for cardiac image segmentation by Jasmine El-Taraboulsi, Claudia P. Cabrera, Caroline Roney, Nay Aung

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Medical Ultrasound Image Segmentation With Deep Learning Models by Chuantao Wang, Jinhua Zhang, Siyu Liu

“…The experimental results show that the proposed model is stable, and the combination of Transformer model and deep learning neural network has a good effect on ultrasound image segmentation, which has some practical application value.…”
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Unsupervised Clustering of Neighborhood Associations and Image Segmentation Applications by Zhenggang Wang, Xuantong Li, Jin Jin, Zhong Liu, Wei Liu

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Co-occurrence Matrix and fractal dimension for image segmentation by Beatriz S. Marón

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Image Segmentation Using Encoder-Decoder with Deformable Convolutions by Andreea Gurita, Irina Georgiana Mocanu

Subjects: “…image segmentation…”
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Prostate Ultrasound Image Segmentation Based on DSU-Net by Xinyu Wang, Zhengqi Chang, Qingfang Zhang, Cheng Li, Fei Miao, Gang Gao

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The BeachLitter dataset for image segmentation of beach litter by Daisuke Sugiyama, Mitsuko Hidaka, Daisuke Matsuoka, Koshiro Murakami, Shin'ichiro Kako

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Physics informed contour selection for rapid image segmentation by Vikas Dwivedi, Balaji Srinivasan, Ganapathy Krishnamurthi

“…Abstract Effective training of deep image segmentation models is challenging due to the need for abundant, high-quality annotations. …”
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Research on improved level set image segmentation method by Mei Zhang, Dan Meng, Lingling Liu, Jinghua Wen

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