ArticleScientific reports2020
Developing intelligent medical image modality classification system using deep transfer learning and LDA.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Context aware machine learning techniques for brain tumor classification and detection - A review.Heliyon · 2025Review
- HEMF: an adaptive hierarchical enhanced multi-attention feature fusion framework for cross-scale medical image classification.PeerJ. Computer science · 2025Article
- SPECT-MPI for Coronary Artery Disease: A Deep Learning Approach.Acta medica Philippina · 2024Article
- Mapping the Bibliometrics Landscape of AI in Medicine: Methodological Study.Journal of medical Internet research · 2023Article
- Classification of hyper-scale multimodal imaging datasets.PLOS digital health · 2023Article
- Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images.Interdisciplinary sciences, computational life sciences · 2023Article
- Robust Human Face Emotion Classification Using Triplet-Loss-Based Deep CNN Features and SVM.Sensors (Basel, Switzerland) · 2023Article
- The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification.BioData mining · 2023Article
- Multi-modal medical image classification using deep residual network and genetic algorithm.PloS one · 2023Article
- Deep learning facilitates multi-data type analysis and predictive biomarker discovery in cancer precision medicine.Computational and structural biotechnology journal · 2023Review
- A review on deep learning in medical image analysis.International journal of multimedia information retrieval · 2022Article
- Incremental Learning for Dermatological Imaging Modality Classification.Journal of imaging · 2021Article
- Machine learning for medical imaging-based COVID-19 detection and diagnosis.International journal of intelligent systems · 2021Article
- Automatic detection of image sharpening in maxillofacial radiology.BMC oral health · 2021Article
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Authors and funding
4 authors.
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Abstract
Rapid advancement in imaging technology generates an enormous amount of heterogeneous medical data for disease diagnosis and rehabilitation process. Radiologists may require related clinical cases from medical archives for analysis and disease diagnosis. It is challenging to retrieve the associated clinical cases automatically, efficiently and accurately from the substantial medical image archive due to diversity in diseases and imaging modalities. We proposed an efficient and accurate approach for medical image modality classification that can used for retrieval of clinical cases from large medical repositories. The proposed approach is developed using transfer learning concept with pre-trained ResNet50 Deep learning model for optimized features extraction followed by linear discriminant analysis classification (TLRN-LDA). Extensive experiments are performed on challenging standard benchmark ImageCLEF-2012 dataset of 31 classes. The developed approach yields improved average classification accuracy of 87.91%, which is higher up-to 10% compared to the state-of-the-art approaches on the same dataset. Moreover, hand-crafted features are extracted for comparison. Performance of TLRN-LDA system demonstrates the effectiveness over state-of-the-art systems. The developed approach may be deployed to diagnostic centers to assist the practitioners for accurate and efficient clinical case retrieval and disease diagnosis.
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