Conference Paper2026

Evaluating the Impact of Image Preprocessing on Deep Learning-Based Fetal Ultrasound Classification Under Class Imbalance

Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Rashedur Rahman, Md Asif Bin Khaled, Ashraful Islam, M. Ashraful Amin

2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS)

IEEE, pp. 128-135

  • Good Health and Well-being — Relevance: 79%

Keywords

  • image preprocessing
  • class imbalance
  • deep learning classification
  • prenatal ultrasound
  • medical image classification
  • prenatal diagnosis

CCDS Authors

Md. Rashedur Rahman, D. Eng.
Md. Rashedur Rahman, D. Eng.

Md. Rashedur Rahman, D. Eng.

  • Co-Director, MIRA & NEST Wings

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh

Published at

CHI, HCII, Scientific Reports, Cognitive Computation, Neural Computing and Applications

MD Asif Bin Khaled
Md Asif Bin Khaled

MD Asif Bin Khaled

  • Co-Director, MIRA Wing

Published at

IEEE Internet of Things Journal

Ashraful Islam, PhD
Ashraful Islam

Ashraful Islam, PhD

  • Center Director, CCDS
  • Director, HCI Wing

Assistant Professor

Department of Computer Science and Engineering

Independent University, Bangladesh (IUB)

Published at

CHI, UIST, UbiComp, IJCNN, ICIP, HCII, ICDMW, BLP, IEEE Internet of Things Journal, JMIR, JMIR Human Factors, JMIR Formative Research, IEEE Access, Smart Agricultural Technology, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Human-Computer Interaction, AI for Social Good, AI for Public Health, AI for Impact

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

  1. 1.Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. (2016). Deep Residual Learning for Image Recognition. , 770–778[10.1109/cvpr.2016.90]
  2. 2.Brendan Juba, Hai S. Le. (2019). Precision-Recall versus Accuracy and the Role of Large Data Sets. Proceedings of the AAAI Conference on Artificial Intelligence, 33(01), 4039–4048[10.1609/aaai.v33i01.33014039]
  3. 3.P.S. Hiremath, Prema T., Sharan Badiger. (2013). Speckle Noise Reduction in Medical Ultrasound Images. InTech eBooks[10.5772/56519]
  4. 4.Ke Song, Jing Feng, Duo Chen. (2024). A survey on deep learning in medical ultrasound imaging. Frontiers in Physics, 12[10.3389/fphy.2024.1398393]
  5. 5.Wang Dong, Zhou Shisheng. (2008). Color Image Recognition Method Based on the Prewitt Operator. , 170–173[10.1109/csse.2008.567]
  6. 6.Dodda Venkatareddy, K.V. Narasimha Reddy, Yendluri Sowmya, Yarlagadda Madhavi, Shaik Chand Asmi, Sireesha Moturi. (2024). Explainable Fetal Ultrasound Classification with CNN and MLP Models. , 1–7[10.1109/icicec62498.2024.10808626]
  7. 7.Scott E Umbaugh. (2022). Digital Image Processing and Analysis. [10.1201/9781003221135]
  8. 8.Umar Islam, Yasser A. Ali, Muna Al-Razgan, Hanif Ullah, Mohmmed Amin Almaiah, Zeeshan Tariq, Khalid Mohammad Wazir. (2025). Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers. Scientific Reports, 15(1), 25665[10.1038/s41598-025-06526-4]
  9. 9.Yirong Lin, Shunlan Liu, Zhonghua Liu, Yuling Fan, Peizhong Liu, Xu Guo. (2025). FBStrNet: Automatic Fetal Brain Structure Detection in Early Pregnancy Ultrasound Images. Sensors, 25(16), 5034[10.3390/s25165034]
  10. 10.S. Priyadharshni, V. Ravi. (2025). Hybrid Quantum-Convolutional Neural Network With Spatial Attention for Accurate Classification of Maternal-Fetal Planes in Ultrasound Images. IEEE Access, 13, 188306–188325[10.1109/access.2025.3625205]
  11. 11.Sabitha Reddy Patel, Vijay Reddy Madireddy, Kode Rajiv. (2024). Fetal Heart Abnormality Detection in Prior Stage Using LeNet 20 Deep Learning Architecture. Traitement du signal, 41(04), 2103–2114[10.18280/ts.410438]
  12. 12.Samrat Kumar Dey, Arpita Howlader, Md. Shabukta Haider, Tonmoy Saha, Deblina Mazumder Setu, Tania Islam, Umme Raihan Siddiqi, Md. Mahbubur Rahman. (2025). FetalDenseNet: multi-scale deep learning for enhanced early detection of fetal anatomical planes in prenatal ultrasound. Journal of Perinatal Medicine, 53(9), 1296–1307[10.1515/jpm-2025-0249]
  13. 13.Mohammed Tashfiq Islam, Mustaqueem Alam, J. M. Sadik-Ul Islam Smaron, Jahanggir Hossain Setu, Siam Tahsin Bhuiyan, Rashedur Rahman, Asif Mahmud, Saadia Binte Alam, Ashraful Islam. (2025). Comparative Evaluation of Deep Learning Models for Multi-Disease Classification Using Reflective Dental Imaging. , 1–6[10.1109/scored68498.2025.11399140]
  14. 14.Annamalai R, Kolla Gnapika Sindhu. (2024). Ensemble-based advancements in maternal fetal plane and brain plane classification for enhanced prenatal diagnosis. International Journal of Information Technology[10.1007/s41870-024-01806-0]
  15. 15.Muhammad Usama Khan, Francesco Bianconi, Hongbo Du, Sabah Jassim. (2025). Hand-crafted Vs. deep CNN features to distinguish benign from malignant lesions in breast ultrasound images. , 1–6[10.1109/iccad64771.2025.11099421]
  16. 16.Minglang Chen, Jie He, Caixu Xu, Bocheng Liang, Shengli Li, Guannan He, Xiongjie Tao. (2024). FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound. , 162–167[10.1109/iucc65928.2024.00039]
  17. 17.Viswanathan R, Anirudh N M, Sreenivas Reddy Sagili, Mudunuru Suneel, Chaliki Archana, Keerthana N V. (2025). Detecting Fetal Brain Abnormalities from Ultrasound Images by Deep Learning Methods. , 1238–1243[10.1109/icidca66325.2025.11280372]
  18. 18.Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, Aly Fahmy. (2019). Dataset of breast ultrasound images. Data in Brief, 28, 104863[10.1016/j.dib.2019.104863]