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Journal : International Journal of Robotics and Control Systems

Evaluating the Effectiveness of Alzheimer’s Detection Using GANs and Deep Convolutional Neural Networks (DCNNs) Pamungkas, Yuri; Syaifudin, Achmad; Crisnapati, Padma Nyoman; Hashim, Uda
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1855

Abstract

Alzheimer’s is a gradually worsening condition that damages the brain, making timely and precise diagnosis essential for better patient care and outcomes. However, existing detection methods using DCNNs are often hampered by the problem of class imbalance in datasets, particularly OASIS and ADNI, where some classes are underrepresented. This study proposes a novel approach integrating GANs with DCNNs to tackle class imbalance by creating synthetic samples for underrepresented categories. The primary focus of this research is demonstrating that using GANs for data augmentation can significantly strengthen DCNNs performance in Alzheimer's detection by balancing the data distribution across all classes. The proposed method involves training DCNNs with both original and GAN-generated data, with data partitioning of 80:10:10 for training/ validation/ testing. GANs are applied to generate new samples for underrepresented classes within the OASIS and ADNI datasets, ensuring balanced datasets for model training. The experimental results show that using GANs improves classification performance significantly. In the case of the OASIS dataset, the mean accuracy and F1 Score rose from 99.64% and 95.07% (without GANs) to 99.98% and 99.96% (with GANs). For the ADNI dataset, the average accuracy and F1 Score improved from 96.21% and 93.01% to 99.51% and 99.03% after applying GANs. Compared to existing methods, the proposed GANs + DCNNs model achieves higher accuracy and robustness in detecting various stages of Alzheimer's disease, particularly for minority classes. These findings confirm the effectiveness of GANs in improving DCNNs' performance for Alzheimer's detection, providing a promising framework for future diagnostic implementations.
Co-Authors Achmad Syaifudin Ade Widiyantara, I Putu Adi Yoga Dewantara, I Made Agus Sutrisna, I Kadek Aprilia Yustika Dewi, Aprilia Ardipa, Gede Sukra Arief Hadi Prasetyo Arief Hadi Prasetyo, Arief Hadi Arisandi, Ni Made Desi Aryasih, Putu Putri Ayu Nirma Lestari, Gusti Budaya, I Gede Bintang Arya Bunga Anindya, Made Cahyani, Agung Ayu Hanna Chawaphan, Pharan Dwi Suparyanta, Kadek Hanna Cahyani, Agung Ayu Haryantara, I Nyoman Hashim, Uda I Gede Mahendra Darmawiguna I Gusti Ayu Sri Melati, I Gusti Ayu I Ketut Resika Arthana I Komang Agus Ady Aryanto I Komang Ariesta Ananta, I Komang Ariesta I Komang Try Adi Stanaya, I Komang Try Adi I Made Gede Sunarya I Nyoman Haryantara I Nyoman Kusuma Wardana I Putu Dana Arista, I Putu Indriani, Ratri Dwi Jongsawat, Nipat Kadek Artawan Kadek Artawan, Kadek Kadek Oky Sanjaya Lanang Nugraha, Made Lenny Natalia, Lenny M.Cs S.Kom I Made Agus Wirawan . Made Frans Aditya Bramantya Kusuma Made Frans Aditya Bramantya Kusuma, Made Frans Aditya Bramantya Made Windu Antara Kesiman Maemonah, Maemonah Maneetham, Dechrit Mariyantoni, I Kadek Yostab Merta, I Gede Muchammad Naseer Ni Kadek Sumiari, Ni Kadek Ni Komang Oktari Permata Sari Oky Sanjaya, Kadek Pamungkas, Yuri Pande, I Made Suandana Astika Pandu Wibawa S, I Wayan Prawira, Putu Yoka Angga Putra Yasa, Gede Agus Putu Angga Sudyatmika Putu Devi Novayanti Putu Putri Sanjani, Dewa Ayu Ratna Kartika Wiyati, Ratna Kartika Reditya Ary Prasetya, Agus Nyoman Rendy Syahrial, Lalu Ricky Aurelius Nutanto Diaz, Ricky Aurelius Roman Apriyansyah, Roman Shofwan Hanief Sri Darmaningsih, Luh Suarningsih, Putu Susena, I Komang Sutrisna Oka, Ketut Tri Thwe, Yamin Tirta Murdika, I Made Tungkasthan, Anucha Udayana, Ketut Wira Widiantara, Eka Putra Wikan Paramasila, Kadek Yoga Antara, I Made Yoka Angga Prawira, Putu Yostab Mariyantoni, I Kadek Yudiantara, I Made