Absorption Data for Cancer Detection Using Machine Learning and Terahertz Metamaterials

Citation Author(s):
Shruti
.
Sasmita
Pahadsingh
Bhargav
Appasani
Submitted by:
bhargav appasani
Last updated:
Fri, 01/26/2024 - 01:07
DOI:
10.21227/rwdm-7e75
License:
Creative Commons Attribution
275 Views
Categories:
Artificial Intelligence
Keywords:
Terahertz metamaterial, Machine Learning, cancer detection
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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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Submitted by Shavarni Srivastava on Fri, 04/05/2024 - 09:12

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