A Radiomic-based model to predict the depth of myometrial invasion in endometrial cancer on ultrasound images by Francesca Arezzo, Annarita Fanizzi, Rosanna Mancari, Emiliano Cocco, Samantha Bove, Maria Colomba Comes, Mariangela Gianciotta, Giorgia Lanza, Salvatore Lopez, Gerardo Cazzato, Erica Silvestris, Elsa Vitale, Enrico Vizza, Gennaro Cormio, Raffaella Massafra, Vera Loizzi

“…Abstract In Europe, endometrial carcinoma was found to be the fourth most common tumor in the female population in 2022. …”
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Testing the reliability of geometric morphometric and computer vision methods to identify carnivore agency using Bi-Dimensional information by Manuel Domínguez-Rodrigo, Marina Vegara-Riquelme, Juan Palomeque-González, Blanca Jiménez-García, Gabriel Cifuentes-Alcobendas, Marcos Pizarro-Monzo, Elia Organista, Enrique Baquedano

“…Biased replication and exclusion of the most widely represented forms of non-oval tooth pits from such analyses have compromised the published results and their ensuing generalizations. …”
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Advances in soil salinity diagnosis for mangrove swamp rice production in Guinea Bissau, West Africa by Gabriel Garbanzo, Jesus Céspedes, Marina Temudo, Maria do Rosário Cameira, Paula Paredes, Tiago Ramos

“…Rice is one of the most important crops in many West African countries and has a direct impact on food security. …”
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A Novel Skin Cancer Detection Approach Using Deep Learning Algorithm with Image Segmentation Filters by Awf A. Ramadhan, Omer S. Kareem, Diyar Q. Zeebaree

“… Skin cancer is considered one of the most common and dangerous diseases in the world because so many people do not pay attention to it. …”
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Evaluation Model Based on the SGCNiFormer for the Influence of Different Storage Environments on Wheat Quality by Qingchuan Zhang, Zexi Song, Mingwen Bi

“…However, conventional grain storage methods frequently impede the ability to promptly and accurately predict and assess quality changes. Moreover, most storage systems are ineffective in dealing with the impact of temperature and humidity fluctuations on wheat quality, which can potentially lead to quality degradation during storage. …”
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DMA‐Net: A dual branch encoder and multi‐scale cross attention fusion network for skin lesion segmentation by Guangyao Zhai, Guanglei Wang, Qinghua Shang, Yan Li, Hongrui Wang

“…The dice similarity coefficient scores on the three datasets reached 81.77%, 81.68% and 85.60%, respectively, surpassing most state‐of‐the‐art methods.…”
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Micro-expression spotting based on multi-modal hierarchical semantic guided deep fusion and optical flow driven feature integration by Haolin Chang, Zhihua Xie, Fan Yang

“…Abstract Micro-expression (ME), as an involuntary and brief facial expression, holds significant potential applications in fields such as political psychology, lie detection, law enforcement, and healthcare. Most existing micro-expression spotting (MES) methods predominantly learn from optical flow features while neglecting the detailed information contained in RGB images. …”
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Redescripción de Haliotrematoides mediohamides (Monogenea: Dactylogyridae), un parásito branquial del sargo Calamus brachysomus (Perciformes: Sparidae) del océano Pacífico orient... by Celso Luis Cruces, Jhon Darly Chero, Gloria Sáez, José Luis Luque

“…Even though this monogenean was described 12 years ago, that description did not report some of the unique morphological features of H. mediohamides and neither did it offer a whole-mount drawing of this species. The most important characteristics of H. mediohamides are: 1) a male copulatory organ with hook-shaped distal end, 2) a non-coiled vaginal duct, 3) numerous secretory gland-cells associated with the peduncle, 4) a chandelier-shaped extrinsic adductor muscles articulated with superficial roots of the anchors, 5) a single tadpole-shaped prostatic reservoir, and 6) a vas deferens anteriorly convoluted. …”
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RMVAD-YOLO: A Robust Multi-View Aircraft Detection Model for Imbalanced and Similar Classes by Keda Li, Xiangyue Zheng, Jingxin Bi, Gang Zhang, Yi Cui, Tao Lei

“…Second, we propose the Shared Convolutional Dynamic Alignment Detection Head (SCDADH), which enhances task interaction and collaboration by sharing convolutions between the classification and localization branches while simultaneously reducing the number of parameters, enhancing the model’s ability to deal with multi-scale targets. …”
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Time–frequency ensemble network for wind turbine mechanical fault diagnosis by Haiyu Guo, Xingzheng Guo, Xiaoguang Zhang, Fanfan Lu, Chuang Liang

“…Second, the Transformer and Graph Convolutional Network (GCN) are combined to extract the time–frequency discriminative features of defects. …”
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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…Background: The issue is that most heart attacks and strokes happen unexpectedly to people who have signs of high blood pressure that are not identified in time for treatment. …”
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A Low Complexity Algorithm for 3D-HEVC Depth Map Intra Coding Based on MAD and ResNet by Erlin Tian, Jiabao Zhang, Qiuwen Zhang

“…As an extension of HEVC, 3D-HEVC retains the quadtree structure inherent to HEVC and is currently recognized as the most widely adopted international standard for stereoscopic video coding. …”
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Towards Efficient SAR Ship Detection: Multi-Level Feature Fusion and Lightweight Network Design by Wei Xu, Zengyuan Guo, Pingping Huang, Weixian Tan, Zhiqi Gao

“…Firstly, the backbone network integrates depthwise separable convolutions and a Convolutional Block Attention Module (CBAM) to suppress background clutter and extract effective features. …”
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Ulcerative Severity Estimation Based on Advanced CNN–Transformer Hybrid Models by Boying Nie, Gaofeng Zhang

“…Experiments show that the CoAtNet model, which integrates convolutional and transformer components, improves UC assessment from endoscopic images, enhancing AI’s role in computer-aided diagnosis.…”
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Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains by Rajan Singh, Amrit Pal, Shruti Mishra, Abishi Chowdhury

“…This paper proposes a novel approach to handle the complexity of dynamic real-world anomaly detection scenarios using three state of the art machine learning models: Convolutional Neural Networks (CNN), Region-based Convolutional Neural Network (R-CNN), and You Only Look Once (YOLO). …”
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A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency by Jinwoo Song, Seong Hee Cho, Seokgoo Kim, Jongwhoa Na, Joo-Ho Choi

“…While the data-driven approach is the most common for this purpose, they often face challenges due to insufficient training data. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“…Cell regenerative therapy has become one of the most promising treatment options for patients with heart failure. …”
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Joint fusion of sequences and structures of drugs and targets for identifying targets based on intra and inter cross-attention mechanisms by Xin Zeng, Guang-Peng Su, Wen-Feng Du, Bei Jiang, Yi Li, Zi-Zhong Yang

“…MM-IDTarget integrates some cutting-edge deep learning techniques such as graph transformer, multi-scale convolutional neural networks (MCNN), and residual edge-weighted graph convolutional network (EW-GCN) to extract sequence and structure modal features of drugs and targets. …”
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The effect of major salivary glands hypertrophy on rat’s spermatogenic epithelium ultrastructure by V. V. Ivanova, D. I. Тikhonov, I. V. Mil’to, O. N. Serebrjakova, E. A. Gereng, R. I. Pleshko

“…Multiple incisors’ amputation cause transient  depression of granular convoluted cells function. Probably submandibular gland granular convoluted tubules cells endocrine factors make the greatest contribution to the regulation of spermatogenesis in rats.…”
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Performance Evaluation of Hybrid Bio-Inspired and Deep Learning Algorithms in Gene Selection and Cancer Classification by Shahad S. Alkamli, Hala M. Alshamlan

“…By providing a comparative analysis, this study aims to guide researchers and clinicians in selecting the most suitable approach for cancer classification tasks. …”
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