title: Quantitative microscopic evaluation of mucin areas and its percentage in mucinous carcinoma of the breast using tissue histological images.
abstract: Mucinous carcinoma (MC) of the breast is very rare (∼1-7% of all breast cancers), invasive ductal carcinoma. Presence of pools of extracellular mucin is one of the most important histological features for MC. This paper aims at developing a quantitative computer-aided methodology for automated identification of mucin areas and its percentage using tissue histological images. The proposed method includes pre-processing (i.e., colour space transformation and colour normalization), mucin regions segmentation, post-processing, and performance evaluation. The proposed algorithm achieved 97.74% segmentation accuracy in comparison to ground truths. In addition, the percentage of mucin present in the tissue regions is calculated by the mucin index (MI) for grading MC (pure, moderately, minimally mucinous).
authors.affiliation: School of Medical Science and Technology, IIT Kharagpur, 721 302, India.
authors.forename: Monjoy
authors.initials: M
authors.lastname: Saha
authors.affiliation: Tata Medical Center, New Town, Rajarhat, Kolkata 700 156, India.
authors.forename: Indu
authors.initials: I
authors.lastname: Arun
authors.affiliation: Tata Medical Center, New Town, Rajarhat, Kolkata 700 156, India.
authors.forename: Bijan
authors.initials: B
authors.lastname: Basak
authors.affiliation: Tata Medical Center, New Town, Rajarhat, Kolkata 700 156, India.
authors.forename: Sanjit
authors.initials: S
authors.lastname: Agarwal
authors.affiliation: Tata Medical Center, New Town, Rajarhat, Kolkata 700 156, India.
authors.forename: Rosina
authors.initials: R
authors.lastname: Ahmed
authors.affiliation: Tata Medical Center, New Town, Rajarhat, Kolkata 700 156, India.
authors.forename: Sanjoy
authors.initials: S
authors.lastname: Chatterjee
authors.affiliation: Department of Bioengineering, University of Illinois at Urbana-Champaign, United States.
authors.forename: Rohit
authors.initials: R
authors.lastname: Bhargava
authors.affiliation: School of Medical Science and Technology, IIT Kharagpur, 721 302, India. Electronic address: chandanc@smst.iitkgp.ernet.in.
authors.forename: Chandan
authors.initials: C
authors.lastname: Chakraborty
mesh_terms: D002288:Adenocarcinoma, Mucinous / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000473:pathology; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000378:metabolism / Q000473:pathology; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009077:Mucins / Q000096:biosynthesis*; D060787:Neoplasm Grading
chemical_list: D009077:Mucins
keywords: Breast; Computer-aided methodology; Invasive ductal carcinoma; Mucin; Mucin index; Mucinous carcinoma