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- 2022
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Mark
Detection of Breast Cancer in Pocket Ultrasound Images Using Deep Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Design, implementation and evaluation of a deep learning prototype to classify non-pigmented malignant skin cancer from dermatoscopic images
(2022) In Master’s Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Pre-classification of Hairy Cells Using Supervised Contrastive Learning
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
- Master (Two yrs)
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Mark
A First Step Towards an Algorithm for Breast Cancer Reoperation Prediction Using Machine Learning and Mammographic Images
(2022) In Master's Theses in Mathematical Sciences FMAM05 20221
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Predicting Birth Outcome Using Cardiotocography and Machine Learning
- Master (Two yrs)
- 2021
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Mark
Machine Learning Algorithm for Classification of Breast Ultrasound Images
(2021) In Master’s Theses in Mathematical Sciences FMAM05 20211
Mathematics (Faculty of Engineering)- Master (Two yrs)
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Mark
Segmentation and Prediction of Mutation Status of Malignant Melanoma Whole-slide Images using Deep Learning
- Master (Two yrs)
- 2020
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Mark
Adaptive Reference Images for Blood Cells using Variational Autoencoders and Self-Organizing Maps
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering)- Master (Two yrs)
- 2019
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Mark
Classification of High Risk Prostate Cancer using Deep Learning
(2019) In Master's Theses in Mathematical Sciences FMAM05 20191
Mathematics (Faculty of Engineering)- Master (Two yrs)