Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

“…Abstract Cancer is a global health concern because of a significant mortality rate and a wide range of affected organs. Early detection and accurate classification of cancer types are crucial for effective treatment. …”
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Exploiting question-answer framework with multi-GRU to detect adverse drug reaction on social media by Jiao-huang Luo, Ai-hua Yang

“…Therefore, the post-marketing detection of ADRs in a timely and accurate manner becomes imperative. …”
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An Autocatalytic Platform Combining a Nonlinear Hybridization Chain Reaction and DNAzyme to Detect microRNA by Hongbo Zhang, Xiuen Cao, Qubo Zhu

“…Conventional methods for miRNA detection, such as quantitative PCR and microarray analysis, often entail intricate sample preparation and lack the requisite sensitivity to detect low-abundance miRNAs like miRNA-21. …”
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Prospective observational study to evaluate the feasibility of the mobile app for mild cognitive impairment detection and screening by Reo Hamaguchi, Seiji Hongo, Naoto Doi, Hisamitsu Ide, Ryozo Saito, Junji Kishimoto, Nobuhiro Handa, Shigeo Horie

“…This study aimed to evaluate the feasibility and reliability of a newly developed mobile app for detecting and screening mild cognitive impairment (MCI).MethodsThe mobile app, developed by LifeQuest Co., Ltd. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Almost 85% of companies polled said they were looking into anomaly detection (AD) technologies for their industrial image anomalies. …”
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T2*-weighted imaging for detection of intracranial silicone oil in MRI obtained with motion correction sequences by Ryuta Yasuda, Masayuki Maeda, Kenichi Takada, Katsuhiro Inoue, Masataka Sugao, Hidenori Suzuki

“…Conclusion T2*WI was the best sequence to detect intracranial silicone oil in MRI obtained with motion correction sequences because of its ability to depict the susceptibility artifacts.…”
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Efficient Handling of Data Imbalance in Health Insurance Fraud Detection Using Meta-Reinforcement Learning by Supriya Seshagiri, K. V. Prema

“…Data imbalance is one of the major challenges in health insurance fraud detection where the distribution of classes within the dataset is significantly skewed, leading statistical models to be biased toward the dominant class. …”
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Diagnostic Performance of Deep Learning Applications in Hepatocellular Carcinoma Detection Using Computed Tomography Imaging by Enes Şahin, Ozan Can Tatar, Mehmet Eşref Ulutaş, Sertaç Ata Güler, Turgay Şimşek, Nihat Zafer Utkan, Nuh Zafer Cantürk

“…Background/Aims: Hepatocellular carcinoma (HCC) is a prevalent cancer that significantly contributes to mortality globally, primarily due to its late diagnosis. Early detection is crucial yet challenging. This study leverages the potential of deep learning (DL) technologies, employing the You Only Look Once (YOLO) architecture, to enhance the detection of HCC in computed tomography (CT) images, aiming to improve early diagnosis and thereby patient outcomes. …”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

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A conceptual approach to material detection based on damping vibration-force signals via robot by Ahmad Saleh Asheghabadi, Mohammad Keymanesh, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Saeed Bahrami Moqadam, Jing Xu

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Detection of Mycobacterium avium subsp. paratuberculosis and other mycobacteria in retail milk and dairy products in Argentina by Karina Cirone, C. Morsella, L. Mendez, F. Paolicchi

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DIAGNOSTIC ACCURACY OF CONTRAST–ENHANCED HIGHRESOLUTION MAGNETIC RESONANCE IMAGING (MRI) FORTHE DETECTION OF RETINOBLASTOMA by Muhammad Faisal

“… Objective To determine the diagnostic accuracy of contrast–enhanced high resolution magnetic resonance imaging (MRI) in the detection of retinoblastoma taking histopathology as the gold standard. …”
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Comparison of saliva and blood derived cell free RNAs for detecting oral squamous cell carcinoma by Yuan Hu, Manbin Xu, Muyuan Liu, Hanwei Peng

“…In our study to enhance OSCC detection, we analyzed cell-free RNA (cfRNA) transcriptomes (mRNA, lncRNA) from blood (plasma) and saliva samples of individuals in three groups: OSCC group, oral benign tumor group, and a normal control group. …”
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Defect Detection in Concrete Structures Based on Characteristics of Hammer Reaction Force and Apparent Stiffness of Concrete by Koki Shoda, Jun Younes Louhi Kasahara, Qi An, Atsushi Yamashita

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Capsule neural network and adapted golden search optimizer based forest fire and smoke detection by Luling Liu, Li Chen, Mehdi Asadi

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The emerging role of blood-based biomarkers in early detection of colorectal cancer: A systematic review by Faris Shweikeh, Yuhao Zeng, Abdur Rahman Jabir, Erica Whittenberger, Saurav P. Kadatane, Yuting Huang, Mohamad Mouchli, Dani Ran Castillo

“…Background: Colorectal cancer (CRC), the third most commonly diagnosed and second most lethal cancer worldwide, necessitates efficient early detection strategies to improve patient outcomes. This review evaluates the promise of novel blood-based biomarkers for early detection of CRC. …”
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Recommendations for the Detection and Mitigation of Laurel Wilt Disease in Avocado and Related Tree Species in the Home Landscape by Jonathan Henry Crane, Jeff Wasielweski, Daniel Carrillo, Romina Gazis, Bruce Schaffer, Fredy Ballen, Edward Evans

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Construction of a pathogenic microorganism detection method based on third-generation nanopore sequencing data by Guoqin Mai, Jiayi Chen, Min Zhang, Wanyue Zhang, Yuting Luo, Ying Dai

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Detecting second mesiobuccal canal in maxillary first molars in Erbil citizens: CBCT Retrospective study. by Mustafa T. Mohamadamin, Karam A. Thiab, Ribwar F. Khalid, Khidir M. Khidir

“…These results indicate that CBCT is an effective, high-precision diagnostic tool for detecting canals. …”
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