A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella, Fabrizio Capoccioni

“…Model accuracy was tested with a dataset that includes images from Tuscany (Italy), where all these farm typologies are represented. …”
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RGB Composition Obtained by a UAV in the Monitoring of Sugarcane Row Gaps Using the Biophysical Index by Camila G. B. de Melo, Mário M. Rolim, Roberta Q. Cavalcanti, Marcos V. da Silva, Ana Lúcia B. Candeias, Pabrício M. O. Lopes, Pedro F. S. Ortiz, Renato P. de Lima

“…The number of regrowth gaps measured through imaging for the class of gaps with a length between 0.5 and 1.0 m was eight times higher than field measurement. …”
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Deep learning and radiomics for gastric cancer serosal invasion: automated segmentation and multi-machine learning from two centers by Hui Shang, Tao Feng, Dong Han, Fengying Liang, Bin Zhao, Lihang Xu, Zhendong Cao

“…Methods This study enrolled 311 patients from two centers with pathologically confirmed of GC. we employed a deep learning model, U-Mamba, to obtain fully automatic segmentation of the spleen CT images. Subsequently, radiomics features and deep learning features were extracted from the entire spleen CT images, and significant features were identified through dimensionality reduction. …”
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Applicability of indocyanine green fluorescence tracing with subserosal dye injection in laparoscopic lymph node dissection for gastric cancer: a preliminary study by Zhangwei Yang, Pengwei Wang, Dandan Bao, Yi-Ren Hu, Senrui Chen, Yi Huang, Pingting Li

“…Aim: This study aimed to evaluate the efficacy and safety of laparoscopic radical gastrectomy guided by indocyanine green (ICG) fluorescence imaging with subserosal ICG injection in lymph node dissection for gastric cancer. …”
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The Frequency and Associated Factors of Asymmetrical Prominent Veins: A Predictor of Unfavorable Outcomes in Patients with Acute Ischemic Stroke by Yue Wang, Jingjing Xiao, Li Zhao, Shaoshi Wang, Mingming Wang, Yu Luo, Huazheng Liang, Lingjing Jin

“…MRI including diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), and susceptibility-weighted imaging (SWI) was performed within 12 hours of symptom onset. …”
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SumGPT: A Multimodal Framework for Radiology Report Summarization to Improve Clinical Performance by Tipu Sultan, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, Samah Alshathri, Walid El-Shafai

“…The dataset used in this study comprises 1,952 radiology images with detailed textual reports for training and 488 images with reports for testing. …”
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Effect of Modulating Spin-Coating Rate of TiO2 Precursor for Mesoporous Layer on J-V Hysteresis of Solar Cells with Polar CH3NH3PbI3 Perovskite Thin Film by Qi Li, Xiaoping Zou, Yuanyuan Li, Yaxian Pei, Shuangxiong Zeng, Dongdong Guo

“…To explore those performances of the mesoporous TiO2 layer based perovskite solar cells, we focus on the effect of modulating the spin-coating rate of the TiO2 precursor for mesoporous layer on J-V hysteresis of solar cells with the polar film by J-V curves, atomic force microscopy topographic images, and piezoresponse force microscopy phase images. …”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…Abstract Detection of infrared objects is essential for applications ranging from remote sensing to thermal imaging. In certain instances, such as when the infrared target is situated at a considerable distance from the detector, the detected object exhibits diminutive dimensions with a concurrently low signal intensity, leading to a challenge in achieving precision in object detection. …”
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VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa

“…We use VisGraphVar to produce 990 graph images and evaluate six LVLMs, employing two distinct prompting strategies, namely zero-shot and chain-of-thought. …”
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Categorizing and Determining of BI-RAD Breast Cancer Score by Using Deep Learning Techniques by Azhar Kassem Flayeh, Ali Douik

“…The study investigated DL algorithms (Attention mechanism and efficintNetB7 ) to determine the breast imaging-reporting and data system (BI-RADS) score by categorizing mammography images. …”
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Embryonic Stem Cell-Derived Cardiomyocyte Heterogeneity and the Isolation of Immature and Committed Cells for Cardiac Remodeling and Regeneration by Kenneth R. Boheler, Robert N. Joodi, Hui Qiao, Ondrej Juhasz, Amanda L. Urick, Sandra L. Chuppa, Rebekah L. Gundry, Robert P. Wersto, Rong Zhou

“…Following transplantation into rodent hearts, bioluminescence imaging revealed that immature cells, but not more mature CMs, survived for at least one month following injection. …”
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Observer Performance in the Use of Digital and Optical Microscopy for the Interpretation of Tissue-Based Biomarkers by Marios A. Gavrielides, Catherine Conway, Neil O’Flaherty, Brandon D. Gallas, Stephen M. Hewitt

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A novel bladder cancer surveillance schedule using bladder Cx for patients on annual surveillance by Arjun Guduguntla, Thomas Whish‐Wilson, Lauren Chandler, Dennis Gyomber

“…Seventy negative CxM patients had no recurrence at the time of the next cystoscopy/imaging. Of the remaining 20 negative CxM patients, 11 were found to have a recurrence at subsequent cystoscopy/imaging and 9 did not proceed with further surveillance for various reasons. …”
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Long-term cardiac MRI follow up of MANTICORE (Multidisciplinary Approach to Novel Therapies in Cardio-Oncology REsearch) by Dina Labib, Mark Haykowsky, Emer Sonnex, John R. Mackey, Richard B. Thompson, D. Ian Paterson, Edith Pituskin

“…Methods The study enrolled 52 participants from the original MANTICORE trial cohort, with cardiac magnetic resonance (CMR) imaging conducted at a median of 6.5 years post randomization to treatment. …”
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Symptomatic Abdominal Simple Cysts: Is Percutaneous Sclerotherapy with Hypertonic Saline and Bleomycin a Treatment Option? by V. D. Souftas, M. Kosmidou, M. Karanikas, D. Souftas, G. Menexes, P. Prassopoulos

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An Alternative Model of Care for the Treatment of Adolescent Athletes with Extension-Based Low Back Pain: A Pilot Study. by Mitchell Selhorst, Richard Rodenberg, Nick Padgett, Anastasia Fischer, Reno Ravindran, James MacDonald

“…The current model of care for adolescent athletes with LBP is to first confirm a medical diagnosis of spondylolysis which frequently requires advanced imaging. However, routine use of advanced imaging increases cost, delays treatment, and can expose the athlete to radiation…”
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Proportion of Variant Anatomy of the Circle of Willis and Association with Vascular Anomalies on Cerebral CT Angiography by Roy Munialo Machasio, Rose Nyabanda, Timothy Musila Mutala

“…MIP and 3D reformatted images were analyzed by two senior radiologists to determine the final configuration of the CW and presence of vascular pathology. …”
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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…Among 30 included studies, 24 described medical imaging applications. All imaging model architectures used convolutional neural networks or a variation thereof. …”
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YOLO-TC: An Optimized Detection Model for Monitoring Safety-Critical Small Objects in Tower Crane Operations by Dong Ding, Zhengrong Deng, Rui Yang

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Optimizing colorectal polyp detection and localization: Impact of RGB color adjustment on CNN performance by Jirakorn Jamrasnarodom, Pharuj Rajborirug, Pises Pisespongsa, Kitsuchart Pasupa

“…Results showed that RGB adjustment with 1.0 R-1.0 G-0.8 B improved polyp detection, achieving an mAP of 0.777 and an F1-score of 0.720 on internal test sets, and localization performance with an F1-score of 0.883 on adjusted images. External validation showed improvement but with a lower F1-score of 0.556. …”
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