Open AccessAnalysis of morphological features of benign and malignant breast cell extracted from fnac microscopic image using the pearsonian system of curves
Author(s) -
LipiB Mahanta,
Nijara Rajbongshi,
Kangkana Bora,
DilipC Nath,
AnupK Das
Publication year - 2018
Publication title -
journal of cytology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 19
eISSN - 0974-5165
pISSN - 0970-9371
DOI - 10.4103/joc.joc_198_16
Subject(s) - perimeter , medicine , pattern recognition (psychology) , fine needle aspiration cytology , kappa , pathology , mathematics , artificial intelligence , computer science , cytology , geometry
Cytological changes in terms of shape and size of nuclei are some of the common morphometric features to study breast cancer, which can be observed by careful screening of fine needle aspiration cytology (FNAC) images.
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