Harsa Amylia Mat Sakim

Orcid: 0000-0003-2490-6117

According to our database1, Harsa Amylia Mat Sakim authored at least 11 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Bibliography

2023
Sampling Methods to Balance Classes in Dermoscopic Skin Lesion Images.
Proceedings of the 12th International Conference on Robotics, 2023

Survey on Blood Vessels Contrast Enhancement Algorithms for Digital Image.
Proceedings of the 12th International Conference on Robotics, 2023

A Comparative Study of Noise Reduction Techniques for Blood Vessels Image.
Proceedings of the 12th International Conference on Robotics, 2023

Unsupervised Clustering to Reduce Overfitting Issues in Ensemble Deep Learning Models for Skin Lesion Classifications.
Proceedings of the 12th International Conference on Robotics, 2023

2021
Detection of Void Regions in Single Pad X-ray Images Using Image Processing Approach.
Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications, 2021

2013
Computer Aided Detection of Breast Density and Mass, and Visualization of Other Breast Anatomical Regions on Mammograms Using Graph Cuts.
Comput. Math. Methods Medicine, 2013

Discretized data pattern in endoscopic gastritis images using dynamic window and pairwise gini criterion.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Segmentation of Breast Regions in Mammogram Based on Density: A Review
CoRR, 2012

The graph cuts technique, breast density and abnormality detection.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

2009
Evaluation of Morphological Features for Breast Cells Classification Using Neural Networks.
Proceedings of the Tools and Applications with Artificial Intelligence, 2009

1999
DNA ploidy and cell cycle distribution of breast cancer aspirate cells measured by image cytometry and analyzed by artificial neural networks for their prognostic significance.
IEEE Trans. Inf. Technol. Biomed., 1999


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