Detection of constituent layers of histological oral sub-mucous fibrosis: images using the hybrid segmentation algorithm.
This paper concentrates on the segmentation of histological images of oral sub-mucous fibrosis (OSF) into its constituent layers. In this regard hybrid segmentation algorithm shows very interesting results. The segmentation results depict the superiority of hybrid segmentation algorithm (HSA) in comparison to region growing algorithm (RGA). In clinical sense, the presented method provides an automatic means for segmenting histological layers (reference class map provided by the expert). The method shows potential in mimicking clinical acumen to act as a support system to oncologist.
Ray
Tathagata
T
Department of Electrical Engineering, Indian Institute of Technology, West Bengal, Kharagpur 721 302, India.
Reddy
D Shivashanker
DS
Mukherjee
Anirban
A
Chatterjee
Jyotirmoy
J
Paul
Ranjan R
RR
Dutta
Pranab K
PK
D000465:Algorithms; D005355:Fibrosis; D006801:Humans; D007089:Image Enhancement; D007090:Image Interpretation, Computer-Assisted; D008279:Magnetic Resonance Imaging; D009061:Mouth Mucosa / Q000473:pathology*; D009062:Mouth Neoplasms / Q000473:pathology*; D011230:Precancerous Conditions / Q000473:pathology*; D015203:Reproducibility of Results