An Automated Broncho-Arterial (BA) Pair Segmentation Process and Assessment of BA Ratios in Children with Bronchiectasis Using Lung HRCT Scans: A Pilot Study.

Autor: Azam S; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., Montaha S; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., Rafid AKMRH; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., Karim A; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., Jonkman M; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., De Boer F; Faculty of Science and Technology, Charles Darwin University, Casuarina, NT 0909, Australia., McCallum G; Child Health Division, Menzies School of Health Research, Darwin, NT 0811, Australia., Masters IB; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.; Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia., Chang A; Child Health Division, Menzies School of Health Research, Darwin, NT 0811, Australia.; Australian Centre for Health Services Innovation, Queensland University of Technology, Brisbane, QLD 4059, Australia.; Department of Respiratory and Sleep Medicine, Queensland Children's Hospital, South Brisbane, QLD 4101, Australia.

Publikováno v: Biomedicines [Biomedicines] 2023 Jun 30; Vol. 11 (7). Date of Electronic Publication: 2023 Jun 30.

An Effective Ensemble Machine Learning Approach to Classify Breast Cancer Based on Feature Selection and Lesion Segmentation Using Preprocessed Mammograms.

Autor: Rafid AKMRH; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka 1341, Bangladesh., Azam S; College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT 0909, Australia., Montaha S; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka 1341, Bangladesh., Karim A; College of Engineering, IT and Environment, Charles Darwin University, Darwin, NT 0909, Australia., Fahim KU; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka 1341, Bangladesh., Hasan MZ; Health Informatics Research Laboratory (HIRL), Department of Computer Science and Engineering, Daffodil International University, Dhaka 1341, Bangladesh.

Publikováno v: Biology [Biology (Basel)] 2022 Nov 11; Vol. 11 (11). Date of Electronic Publication: 2022 Nov 11.

A shallow deep learning approach to classify skin cancer using down-scaling method to minimize time and space complexity.

Autor: Montaha S; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh., Azam S; College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia., Rafid AKMRH; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh., Islam S; Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh., Ghosh P; Department of Computer Science, Lakehead University, Thunder Bay, ON, Canada., Jonkman M; College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia.

Publikováno v: PloS one [PLoS One] 2022 Aug 04; Vol. 17 (8), pp. e0269826. Date of Electronic Publication: 2022 Aug 04 (Print Publication: 2022).