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Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
Ductal carcinoma in situ (DCIS) is a pre-cancerous lesion in the ducts of the breast, and early diagnosis is crucial for optimal therapeutic intervention. Thermography imaging is a non-invasive imaging tool that can be utilized for detection of DCIS and although it has high accuracy (~ 88%), it is s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8591711/ https://www.ncbi.nlm.nih.gov/pubmed/34804768 http://dx.doi.org/10.1007/s40747-020-00218-4 |