INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
STUDY OF MALIGNANCY DETECTION USING IMAGE PROCESSING
Authors Name:
Mr. D. K. Kirange
, Smt Shubhangi D Patil
Unique Id:
IJSDr1704128
Published In:
Volume 2 Issue 4, April-2017
Abstract:
Recently, image processing techniques are widely used in several medical areas for image improvement in earlier detection and treatment stages, where the time factor is very important to discover the abnormality issues in target images, especially in various cancers such as lung cancer, skin cancer, blood cancer etc. The research is divided into three different objectives. The first objective is to acquire quality images of skin and develop and evaluate computer vision methods (algorithms / program) to process, analyse and interpret for skin cancer medical images for skin cancer assessment. The proposed algorithm is based colour information and threshold. For the proposed algorithm, several colour spaces will be studied to compare the detection results. The second objective is a multi-resolution based Lung malignancy detection method to detect the cancer affected area from the collection of CT images (normal and abnormal). The another objective of the research proposal focuses on malignancy detection for leukemia blood cancer. Leukemia is a type of blood cancer involving white blood cells. It is a bone marrow disorder that arises when abnormal white blood cell begins to continuously replicate itself.
Keywords:
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Cite Article:
"STUDY OF MALIGNANCY DETECTION USING IMAGE PROCESSING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 4, page no.654 - 657, April-2017, Available :http://www.ijsdr.org/papers/IJSDr1704128.pdf
Downloads:
000337350
Publication Details:
Published Paper ID: IJSDr1704128
Registration ID:200973
Published In: Volume 2 Issue 4, April-2017
DOI (Digital Object Identifier):
Page No: 654 - 657
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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