COMPARATIVE ANALYSIS OF DEEP LEARNING ARCHITECTURES FOR THE CLASSIFICATION OF EYE-RELATED DISEASES

SULTAN, MUHAMMAD ALI (2025) COMPARATIVE ANALYSIS OF DEEP LEARNING ARCHITECTURES FOR THE CLASSIFICATION OF EYE-RELATED DISEASES. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Eye-related diseases are among the leading causes of vision impairments worldwide. Accurate and timely classification of retinal conditions is crucial for effective treatment and management. This research investigates the potential of three advanced deep learning architectures—VGG16, DenseNet, and Swin Transformers—in classifying eye-related diseases using the Optical Coherence Tomography Image Retinal Database (OCTID) provided by ICPSR. The OCTID dataset contains retinal OCT images representing various pathological conditions, including age-related macular degeneration, diabetic retinopathy, central serous retinopathy, macular holes, and normal retinas. The study evaluates the models based on metrics such as accuracy, precision, recall, F1 score, and interpretability. By comparing the performance of these architectures, the research provides insights into their applicability in clinical ophthalmological diagnostics Keywords: Deep learning, Optical Coherence Tomography, Retinal disease classification, VGG16, DenseNet, Swin Transformers

Item Type:	Thesis (S1)
Call Number CD:	FIK/INFO. 25 172
NIM/NIDN Creators:	41521010172
Uncontrolled Keywords:	Deep learning, Optical Coherence Tomography, Retinal disease classification, VGG16, DenseNet, Swin Transformers
Subjects:	000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika 100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 153 Conscious Mental Process and Intelligence/Intelegensia, Kecerdasan Proses Intelektual dan Mental > 153.1 Memory and Learning/Memori dan Pembelajaran > 153.15 Learning/Pembelajaran 200 Religion/Agama > 240 Christian Moral and Devotional Theology/Moral Kristen dan Teologi Kebaktian > 246 Use of Art in Christianity/Seni dalam Agama Kristen > 246.9 Architecture/Arsitektur 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 540 Chemistry/Kimia > 548 Crystallography, Crystals/Kristalografi, Kristal > 548.9 Optical Crystallography/Kristalografi Optikal
Divisions:	Fakultas Ilmu Komputer > Informatika
Depositing User:	khalimah
Date Deposited:	12 Sep 2025 08:11
Last Modified:	12 Sep 2025 08:11
URI:	http://repository.mercubuana.ac.id/id/eprint/97780

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