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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
CKAD-Net: class-guided key-feature aggregation and adaptive decision network for vocal cord lesion prediction
Abstract Vocal cord lesions (VCL) that are not promptly diagnosed and treated may adversely affect patients’ voice quality and speech communication in the short term, diminishing their quality of life. Long-term progression may lead to malignant tumors in the larynx, posing a threat to patients’ health and life. To this end, this study proposes CKAD-Net, a vocal cord lesion prediction model based on category-guided key feature aggregation and adaptive decision-making.
Definitive radiotherapy for local and metastatic lesions in prostate cancer patients with oligometastases
Background Prostate cancer (PCa) represented the second most common cancer and the fifth leading cause of death among patients, with 1.4 million new cases and 375,000 deaths worldwide in 2020 (1). The majority of diagnoses relate to the use of screening prostate-specific antigen (PSA), whereas the lack of routine PSA screening in the Chinese population often leads to diagnosis at a more advanced stage compared to the populations in Europe and the United States (2).
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