Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3784-4_6
Reference45 articles.
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2. Oellers, P., & Karp, C. L. (2012). Management of pigmented conjunctival lesions. The Ocular Surface, 10(4), 251–263.
3. Yoo, T. K., Choi, J. Y., Kim, H. K., Ryu, I. H., & Kim, J. K. (2021). Adopting low-shot deep learning for the detection of conjunctival melanoma using ocular surface images. Computer Methods and Programs in Biomedicine, 205, 106086.
4. Shields, C. L., Fasiudden, A., Mashayekhi, A., & Shields, J. A. (2004). Conjunctival nevi: clinical features and natural course in 410 consecutive patients. Archives of Ophthalmology, 122(2), 167–175.
5. Wong, J. R., Nanji, A. A., Galor, A., & Karp, C. L. (2014). Management of conjunctival malignant melanoma: a review and update. Expert Review of Ophthalmology, 9(3), 185–204.
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