In this paper, K-Means and Expectation-Maximization algorithms are part of the commonly employed methods in clustering of data in relational databases. Experiments conducted with both clustering algorithms revealed that both algorithms have been found to be characterized with sho...
Open access
Research Article10.9734/BJMCS/2012/1036
Adepoju Temilola Morufat, Oladele Matthias Omotayo, Aina Ifeoluwasemilojo, Omidiora Elijah Olusayo & Fatai Kjadijat Adeola·Journal of Cancer and Tumor International·2026
Aims: The early identification of breast cancer is the most significant method for breast cancer prevention. Breast self-examination has received widespread support and promotion from cancer organisations and authorities worldwide. But for it to be effective, women need to be edu...
Open access
Research Article10.9734/jcti/2026/v16i1340
Adeyemo Temitope Tosin, Adepoju Temilola Morufat, Oladele Matthias Omotayo, Wahab Wajeed Bolanle, Omidiora Elijah Olusayo & Olabiyisi Stephen Olatunde·Current Journal of Applied Science and Technology·2018
Aim: To develop a Curvelet Transform (CT)-Local Binary Pattern (LBP) feature extraction technique for mass detection and classification in digital mammograms. Study Design: A feature extraction technique. Place and Duration of Study: Sample: Department of Computer Science and Eng...
Open access
Research Article10.9734/CJAST/2018/42579
Adeyemo Temitope Tosin, Adepoju Temilola Morufat, Sobowale Adedayo Aladejobi, Oyediran Mayowa Oyedepo, Omidiora Elijah Olusayo & Olabiyisi Stephen Olatude·Journal of Scientific Research and Reports·2017
One of the most common diseases in women today is breast cancer. The method of detection and analyzing breast images according to literature, to mention few are mammography, magnetic resonance, thermography and ultrasound of which mammography is the most accurate and low cost met...
Open access
Research Article10.9734/JSRR/2017/33314