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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging
Published 2024-06-01“…Recently, machine learning algorithms have become increasingly important in medical imaging and information processing, offering a robust alternative to the time-consuming and error-prone manual diagnosis of brain tumors. …”
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422
Oral Capecitabine Achieves Response in Metastatic Eccrine Carcinoma
Published 2018-01-01Get full text
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423
The evolving landscape: Role of artificial intelligence in cancer detection
Published 2024-05-01“…This review investigated the dynamic role of AI in the detection of cancer and provides insights into the fundamental contributions of AI in the revolutionization of cancer detection methodologies, focusing on the role of AI in radiology and medical imaging and highlighting AI's advancements in enhancing accuracy and efficiency in identifying cancerous lesions. …”
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424
Convolutional neural networks for diabetic retinopathy detection
Published 2025-01-01“…The non-pretrained CNN excelled in handling class imbalances and capturing complex diagnostic patterns, emphasizing the potential of tailored architectures for medical imaging tasks. These results underscore the importance of designing domain-specific architectures, demonstrating that model complexity does not necessarily guarantee better performance. …”
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425
An experimental study on breast cancer discrimination using metasurface-based microwave technology
Published 2025-01-01“…Given the inherent limitations of current medical imaging techniques, there is a pressing need for the development of more precise and sensitive alternatives. …”
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426
Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net
Published 2025-01-01“…This research not only enhances the field of medical imaging for oncology but also underscores the potential of deep learning models to progress PCa diagnosis and personalized patient care.…”
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427
Prompt injection attacks on vision language models in oncology
Published 2025-02-01“…Specifically, we show that embedding sub-visual prompts in manifold medical imaging data can cause the model to provide harmful output, and that these prompts are non-obvious to human observers. …”
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428
HTTD: A Hierarchical Transformer for Accurate Table Detection in Document Images
Published 2025-01-01“…HTTD addresses three key challenges: handling diverse document layouts, including historical and modern structures; improving computational efficiency and training convergence; and demonstrating adaptability to non-standard tasks like medical imaging and receipt key detection. Evaluated on benchmark datasets, HTTD achieves state-of-the-art results, with precision rates of 96.98% on ICDAR-2019 cTDaR, 96.43% on TNCR, and 93.14% on TabRecSet. …”
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Towards autonomous robotic THz-based in vivo skin sensing: the PicoBot
Published 2025-02-01“…Abstract Terahertz (THz) light has the unique properties of being very sensitive to water, non-ionizing, and having sub-millimeter depth resolution, making it suitable for medical imaging. Skin conditions including eczema, psoriasis and skin cancer affect a high percentage of the population and we have been developing a THz probe to help with their diagnosis, treatment and management. …”
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432
Procedural Pediatric Sedation by Nurses: Available, Competent, and Safe
Published 2012-01-01“…Sedation and/or analgesia are standard of care for pediatric patients during painful intervention or medical imaging requiring immobility. Physician availability is frequently insufficient to allow for all procedural sedation. …”
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433
Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation
Published 2025-01-01“…Specifically, in medical imaging and other cross-domain scenarios, models are prone to producing large numbers of low-confidence predictions. …”
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434
Enhanced CATBraTS for Brain Tumour Semantic Segmentation
Published 2025-01-01“…The early and precise identification of a brain tumour is imperative for enhancing a patient’s life expectancy; this can be facilitated by quick and efficient tumour segmentation in medical imaging. Automatic brain tumour segmentation tools in computer vision have integrated powerful deep learning architectures to enable accurate tumour boundary delineation. …”
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435
Switched CMOS current source compared to enhanced Howland circuit for bio-impedance applications
Published 2024-10-01“…Bio-impedance Spectroscopy (BIS) is a technique that allows tissue analysis to diagnose a variety of diseases, such as medical imaging, cancer diagnosis, muscle fatigue detection, glucose measurement, and others under research. …”
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Lung Diseases Diagnosis-Based Deep Learning Methods: A Review
Published 2023-09-01“…The advantages and limitations of each method are discussed, along with the types of medical imaging techniques used, such as X-ray and computed tomography (CT). …”
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Is the Adventitial Vasa Vasorum in Vulnerable Carotid Plaques Increased or Decreased?
Published 2025-03-01Get full text
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