Absorption Data for Cancer Detection Using Machine Learning and Terahertz Metamaterials
- Citation Author(s):
-
Shruti .Sasmita PahadsinghBhargav Appasani
- Submitted by:
- bhargav appasani
- Last updated:
- DOI:
- 10.21227/rwdm-7e75
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Abstract
The dataset contains 2100 different observations each having 1099 absorption data points for different types of cells. The reflection absorption data were obtained from terahertz metamaterials on top of which the cells are placed. The 2100 observations made were for varying size specimen size and for four different types of cells
Instructions:
The dataset has absorption spectra of 4 different cells
cancerous blood cell-0
cancerous breast cell-1
normal blood cell-2
normal breast cell-3
These labels are in the last column of the dataset
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