Deep learning network enhances imaging quality of low-b-value diffusion–weighted imaging and improves lesion detection in prostate cancer by Zheng Liu, Wei-jie Gu, Fang-ning Wan, Zhang-zhe Chen, Yun-yi Kong, Xiao-hang Liu, Ding-wei Ye, Bo Dai

“…Abstract Background Diffusion-weighted imaging with higher b-value improves detection rate for prostate cancer lesions. …”
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A 6-tsRNA signature for early detection, treatment response monitoring, and prognosis prediction in diffuse large B cell lymphoma by Jun Rao, Lin Xia, Qiong Li, NaYa Ma, Xinlei Li, Jiali Li, Lidan Zhu, Pan Zhao, Yunjing Zeng, Sha Zhou, Huanping Guo, Shijia Lin, Song Dong, Shifeng Lou, Fangyi Fan, Jin Wei, Jiang F. Zhong, Li Gao, Shengwen Calvin Li, Xi Zhang

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Comparison of polymerase chain reaction and conventional methods in detecting methicillin-resistant Staphylococcus aureus by Riza Adaleti, Yasar Nakipoglu, Zeynep Ceren Karahan, Cihan Tasdemir, Fatma Kaya

“…Background: Accurate and rapid detection of methicillin-resistant Staphylococcus aureus is very important in a clinical laboratory setting to avoid treatment failure. …”
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Enhancing Wearable Fall Detection System via Synthetic Data by Minakshi Debnath, Sana Alamgeer, Md Shahriar Kabir, Anne H. Ngu

Subjects: “…fall detection…”
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QSI and DTI of Inherited White Matter Disorders in Rat Spinal Cord: Early Detection and Comparison with Quantitative Electron Microscopy Findings by Maysa Teixeira Resende, Benjamin K. August, Daniel Z. Radecki, Madelyn Reilly, Abigail Komro, John Svaren, Debbie Anaby, Ian D. Duncan, Yoram Cohen

“…The aim was to verify if and which of the diffusion methodologies used is more suitable for early detection of the milder <i>taiep</i> pathology and to characterize its early phase. …”
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Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study by Zhaonan Sun, Pengsheng Wu, Tongtong Zhao, Ge Gao, Huihui Wang, Xiaodong Zhang, Xiaoying Wang

“…We utilized a 3D V-Net model to improve the efficiency and accuracy of LN detection and segmentation. Methods Utilizing pelvic diffusion-weighted imaging (DWI) scans, the 3D V-Net framework underwent training on a dataset comprising data from a hospital with 1,151 patients, encompassing 32,507 annotated LNs, following data augmentation procedures. …”
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CMCD: A Consistency Model-Based Change Detection Method for Remote Sensing Images by Xiongjie Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

Subjects: “…Change detection (CD)…”
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Detecting unsafe behavior in neural network imitation policies for caregiving robotics by Andrii Tytarenko

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Enhanced Propaganda Detection in Public Social Media Discussions Using a Fine-Tuned Deep Learning Model: A Diffusion of Innovation Perspective by Pir Noman Ahmad, Adnan Muhammad Shah, KangYoon Lee

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Corrigendum to “Detection of spinal long fiber tract degeneration in HSP: Improved diffusion tensor imaging” [NeuroImage Clin. 36 (2022) 103213] by Tobias Lindig, Christer Ruff, Tim W. Rattay, Stephan König, Ludger Schöls, Rebecca Schüle, Thomas Nägele, Ulrike Ernemann, Uwe Klose, Benjamin Bender

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Patterns of Magnetic Resonance Imaging and Early Detection via Diffusion-weighted Imaging of Neonatal Hypoxic Brain Injury: A Cross-sectional Study by G Selva Kumar, Pronami Borah, Aukifa Khamim Sabibahul Islam, Shruti Kashyap

“…Magnetic Resonance Imaging (MRI) is the most sensitive and specific imaging technology for newborns with HIE. Diffusion-Weighted Imaging (DWI) can detect ischaemic changes in the first days after birth. …”
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Sensitivity of Diffusion-Weighted Image Combined with T2 Turbo Inversion Recovery Magnitude Sequence and as an Alternative to Contrast-Enhanced MRI in the Detection of Perianal Fistula by Noor Fadhil Baqir, Rasha Sabeeh Ahmed, Khaleel Ibraheem Mohsen

“…Diffusion-weighted images and T2 turbo inversion recovery magnitude sequences exhibit comparable efficacy to T1-enhanced contrast sequences in detecting perianal fistula. …”
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StyleMI: An Image Processing-Based Method for Detecting Unauthorized Style Mimicry in Fine-Tuned Diffusion Models in a More Realistic Scenario by Xinjun Zhang, Shixin Zuo, Yu Sang

“…Experiments on Stable Diffusion demonstrate the effectiveness of the proposed method. …”
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Detection of multiple signet ring cell carcinomas using texture and color enhancement imaging led to a diagnosis of hereditary diffuse gastric cancer by Jumpei Yamamoto, Akira Dobashi, Sei Adachi, Yuta Takano, Kenji Takeshita, Misayo Miyake, Masami Iwamoto, Shintaro Tsukinaga, Naoto Takahashi, Kazuki Sumiyama

“…TXI may be helpful in detecting multiple SRCCs in patients with HDGC. Endoscopists should be aware of HDGC, and careful investigation of the entire stomach is required for patients with diffuse‐type gastric cancer before treatment.…”
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Iterative Assessment of Edge Criticality: Efficiency Enhancement or Hidden Insufficiency Detection by Vasily Lubashevskiy, Hamza Ejjbiri, Ihor Lubashevsky

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High-Fidelity Synthetic Data Generation Framework for Unique Objects Detection by Nataliya Shakhovska, Bohdan Sydor, Solomiia Liaskovska, Olga Duran, Yevgen Martyn, Volodymyr Vira

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AnomalyControl: Few-Shot Anomaly Generation by ControlNet Inpainting by Musawar Ali, Nicola Fioraio, Samuele Salti, Luigi Di Stefano

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Water resource management in tourism hotspot: A cost-effective, semi-automatic method for monitoring the diffusion of residential swimming pools by Giuseppe Cillis, Rosa Coluzzi, Luca Salvati, Andrea Colantoni, Bogdana Nosava, Vito Imbrenda, Maria Lanfredi

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CURRENT POSSIBILITIES OF MAGNETIC – RESONANCE IMAGING IN DETECTION OF OVARIAN CANCER by N. A. Rubtsova, E. G. Novikova, I. Yu. Sychenkova

“…The opportunities of MRI show a lot of information necessary for the characterization of detected ovarian formations, estimates of the prevalence of primary ovarian cancer and its recurrence. …”
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Informative value of whole-body magnetic resonance imaging with diffusion-weighted images for the detection of bone marrow infiltration in patients with multiple myeloma (literature review) by N. S. Lutsik, L. P. Mendeleeva, G. A. Yatsik

“…In symptomatic MM, there are four patterns of bone marrow infiltration on MRI – focal, diffuse, “salt-and-pepper” infiltration, and combined diffuse and focal pattern, which have prognostic significance. …”
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