Search Results for author: Tareque Rahman Ornob

Found 3 papers, 0 papers with code

Predicting skull fractures via CNN with classification algorithms

no code implementations14 Aug 2022 Md Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur Rahman

ResNet50, which was used for feature extraction combined with a gradient boosted decision tree machine learning algorithm to act as a classifier for the categorization of skull fractures from brain CT scans into three fracture categories, had the best overall F1-score of 96%, Hamming Score of 95%, Balanced accuracy Score of 94% & ROC AUC curve of 96% for the classification of skull fractures.

Classification Image Categorization

Classifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning Approach

no code implementations21 Mar 2022 Md Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur Rahman

We propose a new model called SkullNetV1 comprising a novel CNN by taking advantage of CNN for feature extraction and lazy learning approach which acts as a classifier for classification of skull fractures from brain CT images to classify five fracture types.

Classification Image Categorization

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