Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

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Feature Extraction and Recognition of Medical CT Images Based on Mumford-Shah Model by Lumin Fan, Lingli Shen, Xinghua Zuo

“…Although the work in this paper is aimed at two-phase image segmentation, it can be easily extended to multiphase segmentation problems.…”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…With the rise of deep learning technology, the field of medical image segmentation has undergone rapid development. In recent years, convolutional neural networks (CNNs) have brought many achievements and become the consensus in medical image segmentation tasks. …”
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Modeling and Analysis of Multifocus Picture Division Algorithm Based on Deep Learning by Hongxia You

“…Therefore, the relevant parameters of multifocus image segmentation can be easily set, and better results can be obtained. …”
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Plant Diseases Recognition Based on Image Processing Technology by Guiling Sun, Xinglong Jia, Tianyu Geng

“…Particularly, there are a number of innovations in image segmentation and recognition system. In image segmentation, an improved histogram segmentation method which can calculate threshold automatically and accurately is proposed. …”
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Akuisisi Foreground dan Background Berbasis Fitur DTC pada Matting Citra secara Otomatis by Meidya Koeshardianto, Eko Mulyanto Yuniarno, Mochamad Hariadi

“…Teknik yang sering digunakan adalah image segmentation, namun hasil ekstraksinya masih kurang akurat. …”
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Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium by Yann Gavet, Jean-Charles Pinoli

“…Thus, the main criterion required by ophthalmologists is the cell density of the cornea endothelium, mainly obtained by an image segmentation process. Different methods can perform the image segmentation of these cells, and the three most performing methods are studied here. …”
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Beef Quality Identification Using Thresholding Method and Decision Tree Classification Based on Android Smartphone by Kusworo Adi, Sri Pujiyanto, Oky Dwi Nurhayati, Adi Pamungkas

“…This research aims to develop an image segmentation method by processing digital images. …”
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Computed Tomographic Image Analysis Based on FEM Performance Comparison of Segmentation on Knee Joint Reconstruction by Seong-Wook Jang, Young-Jin Seo, Yon-Sik Yoo, Yoon Sang Kim

“…The demand for an accurate and accessible image segmentation to generate 3D models from CT scan data has been increasing as such models are required in many areas of orthopedics. …”
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Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks by Jie Dong, Yueying Zhang, Yun Meng, Tingxiao Yang, Wei Ma, Huixin Wu

“…This work focused on the application value of magnetic resonance imaging (MRI) image segmentation algorithm based on fully convolutional DenseNet neural network (FCDNN) in glioma diagnosis. …”
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Estimation of Blast Severity on Rye and Triticale Spikes by Digital Image Analysis by João Leodato Nunes Maciel, Alfredo do Nascimento Junior, Cristina Boaretto

“…The obtained data indicate that the evaluation of blast severity on spikes based on image segmentation is feasible and reliable.…”
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Automated Segmentation and Object Classification of CT Images: Application to In Vivo Molecular Imaging of Avian Embryos by Alexander Heidrich, Jana Schmidt, Johannes Zimmermann, Hans Peter Saluz

“…For image segmentation, a rule set was developed using Definiens image analysis software. …”
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An Advanced Otsu Method Integrated with Edge Detection and Decision Tree for Crack Detection in Highway Transportation Infrastructure by Haihang Han, Hanyu Deng, Qiao Dong, Xingyu Gu, Tianjie Zhang, Yangyang Wang

“…In the traditional pavement image segmentation, due to the small area of the pavement cracks, the gray level of crack pixels only accounts for a very small portion in the grayscale histogram, making it difficult to segment. …”
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A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications

“…In this paper, we demonstrate both the accuracy and robustness of our model on areas such as medical image segmentation through a number of experiments on both real (MRI/CT) and synthetic volumetric datasets.…”
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Comparison of Deep-Learning-Based Segmentation Models: Using Top View Person Images by Imran Ahmed, Misbah Ahmad, Fakhri Alam Khan, Muhammad Asif

“…Image segmentation is considered as a key research topic in the area of computer vision. …”
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A Systematic Review on the Advancement in the Study of Fuzzy Variational Problems by Mansi Verma, Chuei Yee Chen, Adem Kılıçman, Risman Mat Hasim

“…The study of fuzzy variational problems has received significant attention over the past decade due to its successful applications in numerous fields, such as image segmentation and optimal control theory. The fuzzy Euler-Lagrange equations provide the necessary optimality conditions for solving fuzzy variational problems explicitly and have been studied under several differentiability conditions. …”
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3D Automatic Segmentation of Brain Tumor Based on Deep Neural Network and Multimodal MRI Images by Zhuliang Qian, Lifeng Xie, Yisheng Xu

“…In order to solve the problems of low efficiency and low accuracy of brain tumor segmentation, this paper proposes DL to conduct research on multimodal MRI image segmentation, aiming to make accurate diagnosis and treatment for doctors. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…This research discusses how to improve the accuracy of image semantic segmentation in the ensemble learning method to deal with the problem of unbalanced data in image segmentation. The technique used is synthetic oversampling so as to produce balanced data and high accuracy. …”
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Improved Bat Algorithm Applied to Multilevel Image Thresholding by Adis Alihodzic, Milan Tuba

“…Multilevel image thresholding is a very important image processing technique that is used as a basis for image segmentation and further higher level processing. …”
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Automated Techniques for the Interpretation of Fetal Abnormalities: A Review by Vidhi Rawat, Alok Jain, Vibhakar Shrimali

“…Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. …”
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