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OpenAlex konusu

Cutaneous Melanoma Detection and Management

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 2.008 eser 114 yazar konusu

Çalışmalar

2.008 eser

  1. DVM-SLC: A Dual-View Meta-Aware Model for Reliable Multi-Class Skin Lesion Classification from Clinical and Dermoscopic Images 2026

    Background/Objectives: Skin lesion classification remains challenging in real clinical settings because diagnostically relevant information is distributed across different imaging modalities, class imbalance is often severe, and overall performance alone may conceal important weaknesses in model behavior. In this stud…

  2. Single Detect Focused YOLO Framework for Robust Mitotic Figure Detection 2026

    Özet henüz yok.

  3. Cinematic rendering in cone-beam computed tomography: A clinical and observer-based evaluation 2026

    Özet henüz yok.

  4. Pandemi Sürecinde İşçi Kadınların Meme Kanseri Taramalarına Yönelik Farkındalıkları ve Sağlık İnançları 2026

    Giriş ve Amaç: Bu çalışmanın amacı pandemi sürecinde işçi kadınların meme kanseri taramalarına yönelik farkındalıkları ve sağlık inançlarını belirlemektir. Gereç ve Yöntemler: Çalışma kapsamına Sinop ilinde bulunan üç fabrikada araştırmaya katılmayı kabul eden 387 işçi kadın alınmıştır. Verilerin toplanmasında tanıtıc…

  5. DVM-SLC: A Dual-View Meta-Aware Model for Reliable Multi-Class Skin Lesion Classification from Clinical and Dermoscopic Images 2026

    Background/Objectives: Skin lesion classification remains challenging in real clinical settings because diagnostically relevant information is distributed across different imaging modalities, class imbalance is often severe, and overall performance alone may conceal important weaknesses in model behavior. In this stud…

  6. Melanoma (Management and Treatment in Geriatric Patients) 2026

    Özet henüz yok.

  7. Non-Melanoma Skin Cancers (Management and Treatment in Geriatric Patients) 2026

    Özet henüz yok.

  8. Incubating artificial intelligence initiatives and careers in dermatology 2026

    Artificial intelligence (AI) tools are rapidly emerging in dermatology and have the potential to revolutionize dermatology practice and expand patient access to care. However, AI developments are often released without adequate dermatologist input, rigorous validation, cost-effectiveness analyses, or transparency (Won…

  9. Detection of oral lesions in vivo with reflectance confocal microscopy in an outpatient clinic setting in India 2026

    Oral cancer is a major global concern in countries like India. Although biopsy remains the gold standard, it is invasive and vulnerable to sampling error. Reflectance confocal microscopy (RCM) is a promising non-invasive modality for near-histological in-vivo imaging of oral epithelium. In this study, we aimed to iden…

  10. Comparing dermatologists' and artificial intelligence heat maps in dermoscopic image analysis via eye tracking 2026

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  11. Artificial Intelligence–Assisted reflectance confocal microscopy for Real-Time intraoperative margin assessment in oral squamous cell carcinoma 2026

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  12. Dermatosurgery 2026

    In geriatric individuals, dermatologic surgery faces challenges due to various age-related factors when surgically treating skin issues. Preoperative assessment guides treatment choices by identifying surgical risks. Elderly individuals can often tolerate standard surgical methods. However, for frail elderly patients,…

Akademisyenler

114 akademisyen