Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…Approximately 30-40% of patients respond poorly to antiepileptic medications, leading to a significant negative impact on their quality of life. Closed-loop deep brain stimulation (DBS) is a promising treatment for individuals who do not respond to medical therapy. …”
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UNSTABLE LUMBAR FRACTURE-DISLOCATION TREATED BY LONG SEGMENT POSTERIOR PEDICLE SCREW INSTRUMENTATION by Ferdiansyah Danang, Primadenny Ariesa Airlangga

“…Plain X-Ray showed Fracture-Dislocation Lumbar Vertebral 1-2 Denis Classification Flexion Rotation (AO Type C) ASIA A. The patient underwent reduction, decompression, and long-segment posterior pedicle screw instrumentation. …”
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Thoracolumbar fractures: Factors predicting failure of percutaneous short- and long-segment posterior fixation by David Ferreira, António Cruz, Ana Vilela, Joana Azevedo, André Santos Moreira, João Pereira, Paulo Gil Ribeiro, Nuno Oliveira, Pedro Varanda, Bruno Direito-Santos

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Brain CT image classification based on mask RCNN and attention mechanism by Shoulin Yin, Hang Li, Lin Teng, Asif Ali Laghari, Ahmad Almadhor, Michal Gregus, Gabriel Avelino Sampedro

“…Finally, the loss function is improved to further optimize the precision of target edge segmentation in the Mask RCNN branch. Finally, we make experiments on public brain CT data set, the results show that the proposed image classification fragrance can effectively refine the edge features, increase the degree of separation between target and background, and improve the classification effect.…”
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Patient-Tailored Dementia Diagnosis with CNN-Based Brain MRI Classification by Zofia Knapińska, Jan Mulawka

“…Such systems could assist healthcare professionals in reducing dementia diagnosis time, optimizing patient-tailored management and treatment strategies, and improving the quality of life for individuals with dementia.…”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Early identification of illnesses and development of treatment plans improve patients’ quality of life and life expectancy. Brain tumors are most commonly detected by magnetic resonance imaging (MRI) scans. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…This combined methodology aims to improve the overall performance of iris recognition systems by leveraging advanced segmentation, search, and classification techniques. …”
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Idiopathic Scoliosis Progression: Presenting Rib and Segmental Rib Index as Predictors—A Literature Review by Theodoros B. Grivas, Elias Vasiliadis, Konstantinos Soultanis, Marios Lykissas, Galateia Katzouraki, Nikolaos Sekouris, Dimitrios Lykouris, Christina Mazioti, Aristea Mamzeri, Despina Papagianni, Eleni Potamiti, Alexandros Kastrinis, Evangelos Theodosopoulos

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Association between Tomographic Characteristics of Pterygium and Preoperative Anterior and Posterior Topography Measured by Anterior Segment Optical Coherence Tomography by Marina Aguilar-González, Enrique España-Gregori, Isabel Pascual-Camps, M. Dolores Pinazo-Durán, Cristina Peris-Martínez

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Development and validation of a novel classification for characterizing degenerative spondylolisthesis of lumbar spine by Yuqiaoi Li, Chong Zhao, Yonghao Wu, Shuaiqi Zhu, Haiying Liu, Shuai Xu

“…Abstract To performed classification based on global alignment and segmental balance, to better characterize single-segment Meyerding Grade I degenerative spondylolisthesis of lumbar spine (DSLS). …”
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Classification of the stages of Alzheimer’s disease based on three-dimensional lightweight neural networks by Jun Li, Juntong Liu, Yang Su, Jie Chang, Mingquan Ye

“…The study found that for the classification of cognitively normal, the best classification results can be obtained by training with the segmented standardized gray matter images, and for mild cognitive impairment and Alzheimer’s disease, the best classification results can be obtained by training with the standardized images. …”
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Domain-specific AI segmentation of IMPDH2 rod/ring structures in mouse embryonic stem cells by Samuel T. M. Ball, Meagan J. Hennessy, Yuhan Tan, Kai F. Hoettges, Neil D. Perkins, David J. Wilkinson, Michael R. H. White, Yalin Zheng, David A. Turner

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Neutrosophic Classification of the Factors That Shape the Professional Profile of Students in Ecuadorian Higher Education by Ana Jacqueline Noblecilla Olaya, María Paredes Morales, Amor Lalama Franco, Dalva Icaza Rivera, Fabrizzio Andrade Zamora

“…Therefore, neutrosophic set theory is applied to fill the gap, which means that for each factor derived, assessed via neutrosophic sets through various degrees of belonging, uncertainty/indeterminacy, and non-belonging, classification is based on strongness. Ultimately, the results showed that the highest levels of indeterminacy were found for technical skills and soft skills which means that coursework should more intensely integrate such aspects of university life/professional profile. …”
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Classification of intracranial pressure epochs using a novel machine learning framework by Rohan Mathur, Sudha Yellapantula, Lin Cheng, Peter Dziedzic, Niteesh Potu, Eusebia Calvillo, Vishank Shah, Austen Lefebvre, Julian Bosel, Elizabeth K. Zink, Susanne Muehlschlegel, Jose I. Suarez

“…We introduce, detail, and validate CICL (Classification of ICP epochs using a machine Learning framework), a semi-supervised approach to classify ICP segments from EVDs as clamped, draining, or noise. …”
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Enhanced Neonatal Brain Tissue Analysis via Minimum Spanning Tree Segmentation and the Brier Score Coupled Classifier by Tushar Hrishikesh Jaware, Chittaranjan Nayak, Priyadarsan Parida, Nawaf Ali, Yogesh Sharma, Wael Hadi

“…This fusion enhances the accuracy of tissue classification, effectively addressing the complexities inherent in age-specific segmentation. …”
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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

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Comparative Analysis of CNN-Based Semantic Segmentation for Apple Tree Canopy Size Recognition in Automated Variable-Rate Spraying by Tantan Jin, Su Min Kang, Na Rin Kim, Hye Ryeong Kim, Xiongzhe Han

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Feature fusion ensemble classification approach for epileptic seizure prediction using electroencephalographic bio-signals by Yazeed Alkhrijah, Yazeed Alkhrijah, Shehzad Khalid, Shehzad Khalid, Syed Muhammad Usman, Amina Jameel, Muhammad Zubair, Haya Aldossary, Aamir Anwar, Saad Arif

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State and Dynamics of Development of the Russian Leasing Market (Brief Statistical Analysis) by L. Yu. Arkhangel’skaya

“…Within the framework of this paper, being used statistical methods for analyzing the structure and dynamics of the phenomena of public life, the features and trends that are emerging in thebRussian market of leasing services are investigated, a forecast for 2020 is being constructed. and expert agencies and summarizes the results of the comprehensive statistical analysis of one of the segments of the financial intermediation services market. …”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

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