Academic Member of NEU Department of Computer Engineering Hamit Altıparmak and Academic Member of NEU Department of Biomedical Engineering Fatih Veysel Nurçin used breast cancer biopsy images to develop an algorithm that enables immediate detection of cancerous cells. It was announced that he test-trials of the algorithm, which was developed to facilitate early diagnosis of breast cancer, have shown 100% success.

According to the press release issued by the Directorate of Press and Public Relations of Near East University, the algorithm developed by Hamit Altıparmak and Fatih Veysel was presented as a poster presentation held at a conference held at Penang, Malesia.

100% Success attained at tests…
Making a statement regarding the matter, Hamit Altıparmak expressed that breast cancer was a serious cancer type observed nowadays and stressed that late diagnosis could have fatal consequences and therefore early diagnosis saved lives. Furthermore, he stressed that the most reliable detection method of breast cancer was biopsy images obtained and the algorithm they developed showed 100% in trials.

Hamit Altıparmak also stated that the algorithm was developed to facilitate early diagnosis of breast cancer and to solve doctor problems in certain regions of the world, especially in poor countries.

It was expressed that due to the algorithm developed, the biopsy method can be used to obtain the result by presenting the breast tissue by means of a microscope. With the developed algorithm, malignant cancer cells can be classified directly by applying a 7-step image processing technique.

Patent Procurement is in Progress …
In addition to the above, Altıparmak stated that the image processing techniques were often used in defence industry, design and manufacturing applications, weather and satellite imagery, monitoring of natural resources on earth, prediction of agricultural products, development of forests and identification of cancerous cells in medicine. Moreover, he expressed that their purpose was to obtain patented microscopy embedded in the algorithm, which directly identifies many types of cancer.