Semantic Scholar Open Access 2022 111 sitasi

Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations

H. Jeong Christine Park Ricardo Henao Meenal K. Kheterpal

Lihat Sumber DOI

Abstrak

Artificial intelligence (AI) has recently made great advances in image classification and malignancy prediction in the field of dermatology. However, understanding the applicability of AI in clinical dermatology practice remains challenging owing to the variability of models, image data, database characteristics, and variable outcome metrics. This systematic review aims to provide a comprehensive overview of dermatology literature using convolutional neural networks. Furthermore, the review summarizes the current landscape of image datasets, transfer learning approaches, challenges, and limitations within current AI literature and current regulatory pathways for approval of models as clinical decision support tools.

Topik & Kata Kunci

Medicine

Penulis (4)

H. Jeong

Christine Park

Ricardo Henao

Meenal K. Kheterpal

Format Sitasi

APA MLA BibTeX

Jeong, H., Park, C., Henao, R., Kheterpal, M.K. (2022). Deep Learning in Dermatology: A Systematic Review of Current Approaches, Outcomes, and Limitations. https://doi.org/10.1016/j.xjidi.2022.100150

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.xjidi.2022.100150

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Total Sitasi: 111×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.xjidi.2022.100150
Akses: Open Access ✓