May 2024
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47 Reads
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22 Citations
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May 2024
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47 Reads
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22 Citations
May 2024
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1 Read
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3 Citations
... LCDEiT, a linear complexity data-efficient image transformer achieving state-of-the-art performance in MRI brain tumor classification, is introduced in [44]. A transformer-based multi-style network for human pose prediction in industrial human-robot collaboration is described in [45], leveraging a custom data pipeline to improve accuracy. BTSwin-Unet, a 3D U-shaped symmetrical Swin transformer-based network for brain tumor segmentation, is presented in [46], leveraging self-supervised pre-training to achieve accurate and robust tumor segmentation from MRI images. ...
May 2024
... The development of vaccines against diseases involves complex research and engineering efforts to create effective immunological responses, which can significantly reduce the impact of infectious diseases on public health. However, these efforts often face challenges such as ethical considerations, logistical complexities, and the need for tailored strategies to manage outbreaks effectively [45][46][47]. Research in digital health explores how technological advancements, such as digital games and online interactions, influence mental health, highlighting both the potential therapeutic applications and the risks of addiction and other negative impacts [48][49]. Research in healthcare systems and medical interventions, such as cochlear implants in young children, critically assesses the impact of health policies and treatment timing on patient outcomes, revealing the intricate connections between policy decisions, healthcare delivery, and individual health advancements [50]. ...
May 2024