Machine Learning uses on Cancer Prognosis and Forecast

Authors

  • Narayani Misal CSE Department
  • Pratiksha Gadge Assistant Professor
  • Sakshi Meshram Student,
  • Bhagyashree Sukhadeve student
  • Tabassum Khan Assistant Professor

Keywords:

CT and MRI Imaging, Segmentation, Watershed Algorithm

Abstract

Detection and removal of Tumor was one of the major issues that is also
a demanding issue within the field of medical speciality. Visualization
methods had the disadvantage of being antagonistic and hence the
MRI images were of great help to specialists in providing a better result.
There are three stages that processing of tumor image works in that
are pre-processing, segmenting tumor and apply operations on that
tumor. After the agreement of the source image, it is alteration of the
innovative image to gray scale moreover use filter for noise elimination
and use median filter for quality expansion is being given which is tracked
by discovering stage subsequent with hits orgasmic indistinguishable
image. At last, subdivision is proficient through watershed algorithm. This
proposed methodology is useful in organising the reports mechanically
in minor amount of time and investigation has caused in take out several
less parameters of the tumor.

Author Biographies

Narayani Misal, CSE Department

 GHRAET, Nagpur, India

Pratiksha Gadge, Assistant Professor

GHRAET, Nagpur, India, 440016

Sakshi Meshram, Student,

CSE Department, GHRAET, Nagpur, India, 440016.

Bhagyashree Sukhadeve, student

CSE Department, GHRAET, Nagpur, India, 440016

Tabassum Khan, Assistant Professor

CSE Department, GHRAET, Nagpur, India, 440016

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Published

2020-05-04