ABSORPTION DATA FOR SKIN CANCER DETECTION USING MACHINE LEARNING AND TERAHERTZ METAMATERIALS

Citation Author(s):
Sagnik
Banerjee
Mohammad
Khan
Uddipan
Nath
Santosh
Mishra
Bhargav
Appasani
Kalinga Institute of Industrial Technology
Submitted by:
Bhargav Appasani
Last updated:
Tue, 07/30/2024 - 01:54
DOI:
10.21227/mcdb-xp49
License:
Creative Commons Attribution
303 Views
Categories:
Artificial Intelligence
Machine Learning
Cancer Data
Keywords:
skin cancer; artificial intelligence; Artificial Intelligence; Machine Learning; dataset
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Abstract 

The dataset contains 560 different observations each having 1049 absorption data points for cancerous and non-cancerous skin cells. The reflection absorption data were obtained from terahertz metamaterials on top of which the cells are placed. The 560 observations made were for varying size tissue thickness and polarization and incident wave angle

Instructions: 

The dataset has absorption spectra of 2 different cells

normal skin cell-0

cancerous skin cell-1

These labels are in the last column of the dataset 

Comments

Good Structured Dataset

Submitted by MD.SHAHZAD HUSS... on Tue, 09/17/2024 - 01:21

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