A novel approach to skin disease segmentation using a visual selective state spatial model with integrated spatial constraints by Yu Bai, Hai Zhou, Hongjie Zhu, Shimin Wen, Binbin Hu, Haotian Li, Huazhang Wang, Daji Ergu, Fangyao Liu

“…Abstract Accurate segmentation of skin lesions is crucial for reliable clinical diagnosis and effective treatment planning. …”
Get full text

Gradient Information Enhanced Image Segmentation and Automatic In Situ Contact Angle Measurement Applied to Images of Multiphase Flow in Porous Media by Yang Gao, Sajjad Foroughi, Zhuangzhuang Ma, Sanyi Yuan, Lizhi Xiao, Branko Bijeljic, Martin J. Blunt

“…Leveraging reliable gradient information to train the neural network, this segmentation method addresses the issue of inaccurate segmentation of interfaces even at low resolution and with small objects present. …”
Get full text

Rolling Element Bearing Performance Degradation Assessment Using Variational Mode Decomposition and Gath-Geva Clustering Time Series Segmentation by Yaolong Li, Hongru Li, Bing Wang, Hongqiang Gu

“…By focusing on the issue of rolling element bearing (REB) performance degradation assessment (PDA), a solution based on variational mode decomposition (VMD) and Gath-Geva clustering time series segmentation (GGCTSS) has been proposed. …”
Get full text

REU-Net: A Remote Sensing Image Building Segmentation Network Based on Residual Structure and the Edge Enhancement Attention Module by Tianen Yuan, Bo Hu

“…Building segmentation from high-resolution remote sensing images plays a crucial role in cadastral measurement, ecological monitoring, urban planning, and other applications. …”
Get full text

Time to Treatment Delay and Clinical Indicators in Patients with ST-Segment Elevation Myocardial Infarction: A Descriptive Cross-sectional Study by Mahsa Motadayen, Hossein Feizollahzadeh, Mohamad Reza Taban, Javad Dehganneghad

“…Introduction: ST-segment elevation myocardial infarction (STEMI) continues to be a significant global health issue, necessitating ongoing monitoring of care processes to enhance quality. …”
Get full text

LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images by Gul e Sehar Shahid, Jameel Ahmad, Chaudary Atif Raza Warraich, Amel Ksibi, Shrooq Alsenan, Arfan Arshad, Rehan Raza, Zaffar Ahmed Shaikh

“…Segmenting brain tumors is a critical task in medical imaging that relies on advanced deep-learning methods. …”
Get full text

Do Deep Learning Algorithms Accurately Segment Intracerebral Hemorrhages on Noncontrast Computed Tomography? A Systematic Review and Meta‐Analysis by Diana Zarei, Mahbod Issaiy, Shahriar Kolahi, David S. Liebeskind

“…Background Stroke, a major global health issue, is broadly categorized into ischemic and hemorrhagic types. …”
Get full text

Towards Automated Eye Diagnosis: An Improved Retinal Vessel Segmentation Framework Using Ensemble Block Matching 3D Filter by Khuram Naveed, Faizan Daud, Hussain Ahmad Madni, Mohammad A.U. Khan, Tariq M. Khan, Syed Saud Naqvi

“…To address this inherent issue, we present an efficient unsupervised vessel segmentation strategy as a step towards accurate classification of eye diseases from the noisy fundus images. …”
Get full text

Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm by Xuzhi Zhao, Yi Du, Haizhen Yue

“…With the increasing prevalence of low-dose CT scans in clinical practice, accurate and automated skeletal muscle segmentation at the L3 level in low-dose CT images has become an issue to address. …”
Get full text

Kinematic Adaptive Frame Recognition (KAFR): A Novel Framework for Video Segmentation via Frame Similarity and Surgical Tool Tracking by Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios, Amr Al-Abbas, Melissa E. Hogg, Amer H. Zureikat, Patricio M. Polanco, Herbert J. Zeh, Ganesh Sankaranarayanan

“…Although we examined our approach on the GJ and PJ datasets for phase segmentation, this could also be applied to broader, more general surgical datasets. …”
Get full text

Prompt-based three-dimensional tooth segmentation method based on pre-trained SAM(基于预训练SAM的提示式三维牙齿分割方法) by 刘复昌(LIU Fuchang), 蔡煜晨(CAI Yuchen), 缪永伟(MIAO Yongwei), 范然(FAN Ran)

“…However, these methods often perform poorly on cases of missing teeth, severe misalignments, or incomplete jaw structures, exhibiting weak generalization capabilities. To address these issues, a new approach based on a pre-trained SAM large model and prompt-based segmentation techniques was introduced. …”
Get full text

Driveway Detection for Weed Management in Cassava Plantation Fields in Thailand Using Ground Imagery Datasets and Deep Learning Models by Ithiphat Opasatian, Tofael Ahamed

“…In contrast, YOLACT had no segmentation issues in the video tests (23.45 FPS), indicating its potential for driveway segmentation in cassava plantations. …”
Get full text

Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques by Ghulame Mustafa Abro, Kundan Kumar

Get full text

Synthetic data generation for anomaly detection on table grapes by Ionut M. Motoi, Valerio Belli, Alberto Carpineto, Daniele Nardi, Thomas A. Ciarfuglia

“…Computer vision and robotics are increasingly employed for the automatic detection of such issues, particularly using data-driven solutions. …”
Get full text

Enhanced Hybrid U-Net Framework for Sophisticated Building Automation Extraction Utilizing Decay Matrix by Ting Wang, Zhuyi Gong, Anqi Tang, Qian Zhang, Yun Ge

“…LDFormer demonstrates superior performance compared to existing state-of-the-art methods in building segmentation tasks, showcasing its significant potential for building automation extraction.…”
Get full text

gTRAVEL+: Enhancing Ground Segmentation for 3D Point Cloud With Temporal Noise Removal and Adaptive Plane Fitting for Urban and Off-Road Environments by Truong Giang Dao, Dinh Tuan Tran, Duc Manh Nguyen, Joo-Ho Lee, Anh Quang Nguyen

“…Additionally, Merge Node Plane Fitting (MNPF) is proposed to address issues of partial under-segmentation arising from suboptimal region sizing. …”
Get full text

Deepfakes Detection by Iris Analysis by Elisabeth Tchaptchet, Elie Fute Tagne, Jaime Acosta, Danda B. Rawat, Charles Kamhoua

Get full text

Non-ST-segment elevation acute coronary syndrome in elderly patients and long-livers. Features of treatment. Literature review and case report by R. G. Gulyan, A. M. Ushanova, Y. K. Rytova, D. V. Pevsner, E. V. Merkulov, S. A. Boytsov

“…The article presents a literature review covering the following issues arising during clinical decision-making in the treatment of non-ST-segment elevation acute coronary syndrome in this group of patients: selection of invasive treatment strategy, scope of myocardial revascularization, appointment of dual antiplatelet therapy taking into account the bleeding risk, decreased renal function and senile asthenia. …”
Get full text

An Integrated UAV and Deep Learning Framework With HSB-Based Segmentation for Automated Slope Anomaly Detection in Mountainous Soil and Water Conservation Sites by Nai-Hsin Pan, Bo-Yuan Chang

“…The study further employed the hue, saturation, and brightness (HSB) color space for anomalous area estimation, achieving precise segmentation with a mean error rate of approximately 7.1%, as verified against 3D model-based ground truth. …”
Get full text

Choisir de lutter contre certaines pollutions plutôt que d’autres by Youssoupha Tall, José Frédéric Deroubaix, Ibrahima Dia, Veronica Mitroï, Tidiane Ndoye, Sylvain Landry Birane Faye, Jean-François Humbert

“…Relying on a field survey of lake managers and users, we show the competition between the various administrative departments which lead to various forms of segmentation of the degradation causes and the selection of one of them. …”
Get full text