Liver Cancer Detection Using Image Processing

Abstract: Medically termed Hepatic cancer, this comes from irregular proliferation in cells within the liver and comes in most variant known as Hepatocellular carcinoma- HCC which accounts for 75% diagnosed. Typically, it appears quite late thereby posing more risk. Precisely early diagnosis now becomes so imperative. Mainly, in the following proposal, the very key purpose in using image processing methodology shall revolve around making liver cancer identification possible quite earlier than previous. By making use of Computed Tomography images, the study seeks to identify malignant liver tumours using advanced image enhancement techniques. In particular, anisotropic diffusion filters are used for image filtering. The morphological operations will be applied in combination with a simple yet effective sequence of dilation and erosion operations. The proposed method shall accurately highlight and outline tumor areas in Computed Tomography scans, which may have a significant impact on new early cancer detection methods.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-21
DOI
https://doi.org/10.22214/ijraset.2024.65955
Citations
1
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.25
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article

Liver Cancer Detection Using Image Processing

A Nikhil, Nancy Sunil, K. Satya Prasad, K. Praveen Kumar
1 citations
International Journal for Research in Applied Science and Engineering Technology
Brain Tumor Detection and Classification
0.25
article

Liver Cancer Detection Using Image Processing

A Nikhil, Nancy Sunil, K. Satya Prasad, K. Praveen Kumar
article en
1 citations

Abstract

Abstract: Medically termed Hepatic cancer, this comes from irregular proliferation in cells within the liver and comes in most variant known as Hepatocellular carcinoma- HCC which accounts for 75% diagnosed. Typically, it appears quite late thereby posing more risk. Precisely early diagnosis now becomes so imperative. Mainly, in the following proposal, the very key purpose in using image processing methodology shall revolve around making liver cancer identification possible quite earlier than previous. By making use of Computed Tomography images, the study seeks to identify malignant liver tumours using advanced image enhancement techniques. In particular, anisotropic diffusion filters are used for image filtering. The morphological operations will be applied in combination with a simple yet effective sequence of dilation and erosion operations. The proposed method shall accurately highlight and outline tumor areas in Computed Tomography scans, which may have a significant impact on new early cancer detection methods.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
Mediciti Institute of Medical Sciences (IN)
Openalex Percentile: Top 40%
Brain Tumor Detection and Classification
0.25
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Liver Cancer Detection Using Image Processing — A Nikhil, Nancy Sunil, et al. · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS