Detection and Identification of Dental Caries Using Segmentation Techniques by Noor A. Ibraheem

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Surgical treatment of bone tumors using segmental bone allografts by O. Ye. Vyrva, Ya. O. Holovina, R. V. Malyk, Z. M. Danishchuk, N. O. Ashukina, P. M. Vorontsov

“…The authors have improved the method of surgical treatment of patients with tumor bone lesions using segmental allografts. Step-cut osteotomy was performed to achieve the best contact between the allograft and the recipient bone, fixation was performed with intramedullar interlocking nail without the use of bone cement, and primary bone autoplasty was done to achieve better reparation. …”
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Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

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Detecting and Estimation Change-point in Dynamic Systems using Segmentation Technique by Thafer Ramathan Muttar AL-Badrany, Najlaa Saad Abraham Al-Sharaby

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Structural analysis of the hip joint using segmentation and finite elements in patients with femoroacetabular impingement by Felipe Castillo, Cristian A. Hernández-Salazar, Octavio A. González-Estrada

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Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks by Joshua Larsen, Jeffrey Dunne, Robert Austin, Cassondra Newman, Michael Kudenov

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Tea leaf disease detection using segment anything model and deep convolutional neural networks by Ananthakrishnan Balasundaram, Prem Sundaresan, Aryan Bhavsar, Mishti Mattu, Muthu Subash Kavitha, Ayesha Shaik

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Deep Learning-Enhanced Ultrasound Analysis: Classifying Breast Tumors Using Segmentation and Feature Extraction by Ali Hamza, Martin Mezl

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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

“…However, since most deep learning segmentation methods accept only 3-channel images, we adapt hyperspectral images from a benchmark dataset by applying dimensionality reduction techniques such as Principle Component Analysis (PCA), Factor Analysis, and Uniform Manifold Approximation and Projection (UMAP) to transform high-dimensional data into 3-channels, before performing segmentation using Segment Anything Model (SAM). The results show significant improvements over RGB imagery with dimensionality reduction methods, however the overall segmentation accuracy remains poor. …”
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Determination cardinal temperatures of vetch (Vicia sativa; Vicia pannonica) in response to temperature and different water potential using segmented model by حسین صفری, Batool Mahdavi

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Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation by Yosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Osamu Abe

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Hybrid deep learning model for density and growth rate estimation on weed image dataset by Anand Muni Mishra, Mukund Pratap Singh, Prabhishek Singh, Manoj Diwakar, Indrajeet Gupta, Anchit Bijalwan

“…This research has proposed proposes hybrid Convolutional Neural Network models (HCNN) which have amalgamated the feature of the SegNet and U-Net CNN model for weed image segmentation. This work uses segmentation masks to exclude background and foreground vegetation to investigate weed growth and density estimation. …”
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Patterns of healthcare utilisation in children and young people: a retrospective cohort study using routinely collected healthcare data in Northwest London by Dougal S Hargreaves, Mitch Blair, Thomas Woodcock, Jonathan Clarke, Mauricio Barahona, Rachel McCarthy, Kavitha Saravanakumar

“…Segmentation approaches partition the population based on demographics, long-term conditions (LTCs) or healthcare utilisation but have mostly been applied to adults. Our study uses segmentation methods to distinguish patterns of healthcare utilisation in children and young people (CYP) and to explore predictors of segment membership.Design A retrospective cohort study.Setting Routinely collected primary and secondary healthcare data in Northwest London from the Discover database.Participants 378 309 CYP aged 0–15 years registered to a general practice in Northwest London with 1 full year of follow-up.Primary and secondary outcome measures Assignment of each participant to a segment defined by seven healthcare variables representing primary and secondary care attendances, and description of utilisation patterns by segment. …”
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Research on the Splash of Cooked Food with Soup during Vacuum Cooling Process by Fan lei, Li Baoguo, Lei Haibin, Su Shuqiang

“…Adopting the means of controlling the filling gas valve opening and closing, and using segmented depressurization method and back pressure method can effectively prevent the occurrence of the boiling splash. …”
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The development of patient-specific 3D anatomical models in minimally invasive parathyroidectomy by Zahra J. Haq, Ahmed Ahmed, Alaa Abdelsalam, Soudeh Chegini, Tom R. Kurzawinski, Simon Morley, Mark McGurk, Tarek Abdel-Aziz

“…Virtual 3D anatomical models can be constructed from patient-specific CT scans using segmentation software.MethodsWe aimed to create virtual 3D models from 4D-CT scans of parathyroid tumours using segmentation technology. …”
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Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary by Loránd Szabó, Márton Deák, Szilárd Szabó

“…We classified the study area using the Maximum Likelihood algorithm and used segmentation techniques for training area selection. …”
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization by Tawsifur Rahman, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Mohammad Tariqul Islam, Saad Kashem, Zaid Bin Mahbub, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

“…However, classification using segmented lung images outperformed that with whole X-ray images; the accuracy, precision, sensitivity, F1-score and specificity of DenseNet201 were 98.6%, 98.57%, 98.56%, 98.56%, and 98.54% respectively for the segmented lung images. …”
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Eighteen-Year Follow-Up of Bone Sculpting Using the 3A-2B Biological Rule for Immediate and Late Implant Placement With Immediate Loading in Maxillary Fixed Prostheses: A Clinical... by Fernando Rojas-Vizcaya

“…Partial edentulism requiring maxillary rehabilitation with dental implants, whether using segmented or splinted fixed prostheses, often involves three-dimensional tooth position planning. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…To solve such tasks, it is suggested to use segmentation with the help of machine learning, and to increase the accuracy of determining the boundaries of objects, it is necessary to use adaptive approaches. …”

A Comprehensive Simplified Algorithm for Heat Transfer Modeling of Medium-Deep Borehole Heat Exchangers Considering Soil Stratification and Geothermal Gradient by Boyu Li, Fei Lei, Zibo Shen

“…Their heat transfer process is significantly influenced by geothermal gradient and soil stratification, typically simulated using segmented finite line source (SFLS) models. However, this approach involves computationally intensive procedures that hinder practical engineering implementation. …”
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