Tag: deep learning
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Unpacking the black box of AI: Explainable AI in cancer detection with Dr. Sakib Mostafa
Understanding the black box: why explainable AI matters Artificial intelligence has advanced rapidly, but one of its most consequential challenges remains the so-called “black box” problem. Dr. Sakib Mostafa, a Bangladeshi-Canadian researcher, frames this not as a sci‑fi nightmare but as a practical hurdle: the results that AI models produce can be correct yet inexplicable.…
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Deep Learning in Dermatoscopy for Basal Cell Carcinoma Diagnosis: A Systematic Review and Meta-Analysis
Introduction Basal cell carcinoma (BCC) is the world’s most common nonmelanoma skin cancer, with incidence on the rise and significant implications for patients’ cosmetic outcomes and healthcare systems. Dermatoscopy enhances lesion visualization, but diagnostic accuracy can vary among observers. In recent years, deep learning (DL) algorithms trained on dermatoscopic images have emerged as a promising,…
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Deep Learning in Dermatoscopy for Basal Cell Carcinoma: A Systematic Review and Meta-Analysis
Introduction Basal cell carcinoma (BCC) is the most common skin cancer worldwide, responsible for up to 80% of nonmelanoma cases. Early and accurate diagnosis is essential to minimize local invasion, cosmetic damage, and healthcare burden. Dermatoscopy is a noninvasive imaging tool that enhances visualization of subsurface skin structures, improving lesion assessment. Yet, variability among observers…
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Sex estimation from the sternum in Turkish population using machine learning and deep neural networks
Introduction In forensic anthropology, building a biological profile is essential for identifying unknown human remains. Among the core components, sex estimation informs subsequent analyses of age, stature, and ancestry. The sternum, a central chest bone, has historically received less attention for sex estimation than the skull or pelvis. Recent advances in machine learning and deep…
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Sex Estimation from the Sternum in Turkish Population: Machine Learning and Deep Neural Networks
Introduction In forensic anthropology, establishing a biological profile from skeletal remains is a cornerstone of donor identification. While the pelvis and skull remain primary sources for sex estimation, the sternum offers a complementary set of features that can be informative in fragmented or degraded remains. Recent advances in machine learning and deep neural networks provide…