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- W4382119951 abstract "In present work, we enhance the diagnosis of skin-cancer by applying Natural Language processing and Machine Learning techniques to a specific classification problem. Our experimentation with different architectures yielded noteworthy results over a specific corpora of medical notes. Using a BoW/TF-IDF representation of the corpus and a 1-dimensional Convolutional Neural Network(CNN1D) architecture, we achieved an F1-measure of 0.95, which is better than state of the art." @default.
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- W4382119951 date "2023-01-01" @default.
- W4382119951 modified "2023-09-25" @default.
- W4382119951 title "Skin Cancer Diagnosis Enhancement Through NLP and DNN-Based Binary Classification" @default.
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- W4382119951 doi "https://doi.org/10.1007/978-3-031-23476-7_12" @default.
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