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Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images.

, , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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Applying a novel two-stage deep-learning model to improve accuracy in detecting retinal fundus images., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Improving medical image segmentation and classification using a novel joint deep learning model., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Comparison of performance in breast lesions classification using radiomics and deep transfer learning: an assessment study., , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification., , , , , , and . IEEE Trans. Biomed. Eng., 68 (9): 2764-2775 (2021)A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113171V. SPIE, (2020)Developing interactive computer-aided detection tools to support translational clinical research., , , , , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 12035 of SPIE Proceedings, SPIE, (2022)