Publications by authors named "Ava Akhavan Malayeri"
Article Synopsis
- Skin cancer is prevalent in the U.S., with one in five Americans at risk, leading to the need for accurate diagnosis through biopsy and histopathological examination; this study developed a web application to classify skin cancer lesions using the HAM10000 dataset.
- The research utilized dermoscopy images and applied techniques like image pre-processing and transfer learning with the EfficientNET-B1 model, which enhanced the accuracy of predicting various pigmented skin lesions.
- The model achieved the highest performance in identifying melanocytic nevi lesions with a 0.93 F1 score, and overall, it classified seven skin lesion types with an accuracy of 84.3%, indicating potential for further advancements in skin cancer diagnosis.
Background: The COVID-19 pandemic and its related social restrictions have profoundly affected people's mental health. It can be assumed that symptomatic behaviors and mental health of individuals with eating disorders (ED) deteriorated during this time. To get a thorough overview, we conducted a systematic review and meta-analysis with the following aims: First, to provide a comprehensive overview of symptoms of ED during the COVID-19-related confinement; second, to identify psychological mechanisms which impacted the emergence and maintenance of ED symptoms; third, to describe changes of daily routine and changes of access to healthcare in individuals with ED during confinement.
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