Classification of osteosarcoma tumor from histological image using sequential RCNN

Rahad Arman Nabid, Md Latifur Rahman, Md Farhad Hossain

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

16 Citations (Scopus)

Abstract

Osteosarcoma is an osseous tumor that occurs in the metaphyseal area around the knee accounts for roughly 20% of bone cancers mostly affects patients younger than 20 years. Early diagnosis of osteosarcoma cancer can pave the way for an unlimited choice of therapy opportunities. Moreover, pathological estimation of necrosis and tumor cells determines the future intensity of chemotherapy radiation to apply to patient. The biopsy confirms the diagnosis and divulges the grade of the tumor, necrotic, and non-tumor cells. Due to a lack of radiologists in third world countries like Bangladesh, it is extremely difficult to diagnose cancer in the early stage. Moreover, to identify the chemotherapy effect during the chemotherapy period, multiple radiologists are required which is quite expensive for most cancer hospitals. In this paper, a Sequential Recurrent Convolutional Neural Network (RCNN) model consisting of CNN and bidirectional Gated Recurrent Units (GRU) is proposed, which performs exceptionally well with small numbers of histopathological osteosarcoma Haematoxylin and Eosin (H E) stained images despite having the over-fitting problem, heterogeneity, intra-class variation, inter-class similarity, crowded context, the irregular shape of the nucleus and noisy data. Performance of the is compared with that of AlexNet, ResNet50, VGG16, LeNet and SVM models with the histopathological image dataset on osteosarcoma.

Original languageEnglish
Title of host publicationProceedings of 2020 11th International Conference on Electrical and Computer Engineering, ICECE 2020
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages363-366
Number of pages4
ISBN (Electronic)9781665422543
DOIs
Publication statusPublished - 17 Dec 2020
Externally publishedYes
Event11th International Conference on Electrical and Computer Engineering, ICECE 2020 - Virtual, Dhaka, Bangladesh
Duration: 17 Dec 202019 Dec 2020

Publication series

NameProceedings of 2020 11th International Conference on Electrical and Computer Engineering, ICECE 2020

Conference

Conference11th International Conference on Electrical and Computer Engineering, ICECE 2020
Country/TerritoryBangladesh
CityVirtual, Dhaka
Period17/12/2019/12/20

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