Sains Malaysiana 44(12)(2015): 1729–1738

A Study on Development of Automation Diagnosis of Liquid Based Cytology

(Suatu Kajian Pembangunan Diagnosis Automasi Sitologi berasaskan Cecair)

SEONG-HYUN KIM¹, HAN-YEONG OH² & DONG-WOOK KIM*^1,3

¹Division of Biomedical Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu

Jeonju-si, Jeonbuk, South Korea

²Department of Healthcare Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu

Jeonju-si, Jeonbuk, South Korea

³Research Center of Healthcare & Welfare Instrument for the Aged, Chonbuk National University

567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeonbuk, South Korea

Received: 2 September 2014/Accepted: 23 June 2015

ABSTRACT

Cervical cancer afflicts women worldwide. The patients’ mortality with cancer has been increased by changing to westernized dietary habit and lifestyle. In order to detect early cervical cancer, a liquid-based cytology (LBC) was used to examine the exfoliated cells collected from the cervix. This procedure helps to decrease the mortality rate. However, this test mostly involves manual examination by the pathologists. This procedure needs to develop more efficient tool in detecting cervical cancer which rate kept increasing. As such, this study was designed to develop some methods to increase the effectiveness of LBC. The diagnosis algorithm was also established to diagnose the processed cell images via an imaging process algorithm based on the diagnosis criteria. A cell diagnosis program based on GUI, combined with the imaging process and the diagnosis algorithms were developed to automate the test process. The results of this studies showed that this new program can be used for effective diagnosis of cervical cancer. Moreover, it was deemed to increase the precision and accuracy of diagnosis and save patient time.

Keywords: Automation diagnosis; diagnosis algorithm; image processing algorithm; liquid based cytology (LBC); uterine cervical cancer

ABSTRAK

Kanser pangkal rahim menyerang wanita di seluruh dunia. Kematian pesakit kanser telah meningkat akibat penukaran tabiat pemakanan dan gaya hidup yang kebaratan. Untuk pengesanan awal barah pangkal rahim, sitologi berasaskan cecair (LBC) digunakan untuk mengkaji sel-sel yang dikumpul daripada serviks. Prosedur ini membantu mengurangkan kadar kematian. Walau bagaimanapun, ujian ini kebanyakannya melibatkan pemeriksaan secara manual oleh ahli patologi. Prosedur ini perlu membangunkan alat yang lebih cekap untuk mengesan kanser pangkal rahim kerana kadarnya yang semakin meningkat. Oleh yang demikian, kajian ini telah direka untuk mencadangkan beberapa kaedah untuk meningkatkan keberkesanan LBC. Diagnosis algoritma juga dibangunkan untuk mendiagnosis proses imej sel melalui suatu proses pengimejan algoritma berdasarkan kriteria diagnosis. Suatu program sel diagnosis berdasarkan GUI, digabungkan dengan proses pengimejan dan diagnosis algoritma telah dibangunkan untuk mengautomasikan proses ujian. Keputusan kajian ini menunjukkan bahawa program baru ini boleh digunakan untuk diagnosis kanser pangkal rahim dengan berkesan. Selain itu, ia dilihat boleh meningkatkan kepersisan dan ketepatan diagnosis dan menjimatkan masa pesakit.

Kata kunci: Algoritma pemprosesan imej; diagnosis algoritma; diagnosis automasi; kanser pangkal rahim; sitologi berasaskan cecair (LBC)

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*Corresponding author; email: biomed@jbnu.ac.kr