Search
for
Sort by
Research 751–780 of 1000+
- HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
- CZY W NAJBLIŻSZYM CZASIE MOGĄ POPRAWIĆ SIĘ WYNIKI LECZENIA GLEJAKÓW?
- A Case of Ovarian Hyperthecosis in a Postmenopausal Woman
- 画像解析による抗がん剤脱毛頭皮の形態構造の検証
- Evaluating the Disease-Related Experiences of TikTok Users With Lupus Erythematosus: Qualitative and Content Analysis (Preprint)
- Alopecia – focus on negative emotional impact
- Non-Invasive Techniques for Evaluating Alopecia Areata
- Scalp disease analysis using deep learning models
- PÉ DIABÉTICO NA ATENÇÃO BÁSICA: UMA REVISÃO DE LITERATURA
- 29 Practical Guide to Photographic Documentation
- Folliculitis decalvans: a case report of satisfactory recovery after implementing isotretinoin therapy
- Iperandrogenismo della donna in menopausa
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- Estimativa de idade em indivíduos vivos
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
- Techniques for Hair Restoration
- SUN-005 Hirsutism Due to Bilateral Leydig Cell Tumors
- Hair analysis based on medical history and spatial-temporal data
- Management of Older Patients With Metastatic Renal Cell Carcinoma Receiving Sunitinib: A Hypothetical, Illustrative Case Scenario
- 286 Assessment of hair surface roughness by objective analysis
- Exfoliative dermatitis in a cat
- Atualização em Coriorretinopatia Serosa Central
- DRUG NEWS
- Investigation of nanoparticulate formulation intended for caffeine delivery to hair follicles
- Stimulation of hair growth in humans by cell-secreted proteins
- Distribution of the Quantum Dot Nano-particles that Penetrate Skin and Distinction of Combined Osmium Tetroxide in Electron Microscopic Analysis
- S236: Mandibular Trauma: From the Simple to the Complex and Everything in Between
- Book Reviews
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Impact of artificial intelligence on healthcare