Dr Peter McLeod
| Name | Peter McLeod |
|---|---|
| Position | Director (Assurance Services) |
| Section | Assurance Services |
| Office | Y351 |
| Location | Toowoomba Campus |
| Phone | +61 7 4631 2679 |
| Extension | 2679 |
| Qualifications | DipMgt SAIT , DipLead SAIT , BAcc CQU , BBus(InfoSys) CQU , CPA CPA Australia , MInformatics CQU , PhD CQU |
Research interests
Pattern Recognition, Artificial Intelligence, Cancer diagnosis
Professional memberships
Fellow of CPA Australia
Research most recent
Conferences
Peter McLeod, Brijesh Verma: A Multilayered Ensemble Architecture for the Classification of Masses in Digital Mammograms. Australasian Conference on Artificial Intelligence 2012: 85-94
P. Mc Leod and B. Verma, ‘Clustered Ensemble Neural Network for Breast Mass Classifi-cation in Digital Mammography’, IEEE World Congress on Computational Intelligence (WCCI 2012), 10-15 June 2012, Brisbane, Australia, pp. 1266-1271.
Journals
Peter McLeod, Brijesh Verma: Variable Hidden Neuron Ensemble for Mass Classification in Digital Mammograms [Application Notes]. IEEE Comp. Int. Mag. 8(1): 68-76 (2013)
Verma, B., Mc Leod, P. and Klevansky, A. (2010) “Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer”, Expert Systems with Applications, vol. 37, no. 4, April 2010, pp. 3344-3351.
Research most notable
Verma, B., Mc Leod, P. and Klevansky, A. (2010) “Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer”, Expert Systems with Applications, vol. 37, no. 4, April 2010, pp. 3344-3351.
Publications in ePrints
Verma, Brijesh and McLeod, Peter and Klevansky, Alan (2010) Classification of benign and malignant patterns in digital mammograms for the diagnosis of breast cancer. Expert Systems with Applications, 37 (4). pp. 3344-3351. ISSN 0957-4174
Verma, Brijesh and McLeod, Peter and Klevansky, Alan (2009) A novel soft cluster neural network for the classification of suspicious areas in digital mammograms. Pattern Recognition, 42 (9). pp. 1845-1852. ISSN 0031-3203