NEW TRANSFER LEARNING-BASED HYBRID DEEP MODEL FOR MULTICLASS EYE DISEASE CLASSIFICATION WITH INCEPTION V3 AND TAILORED CNN BLOCKS

Authors

Subhadip Das
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Tanmay Kumar Behera
Department of Computer Science and Engineering, NIT Mizoram, India
Deblina Roy
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Shruti Pandey
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Sanchari Mohanty
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Atasi Dutta
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal
Kousik Roy
Department of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal

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Published

29 March 2026

How to Cite

Das, S., Behera, T. K. ., Roy, . D. ., Pandey, S. ., Mohanty, S. ., Dutta, A. ., & Roy, K. (2026). NEW TRANSFER LEARNING-BASED HYBRID DEEP MODEL FOR MULTICLASS EYE DISEASE CLASSIFICATION WITH INCEPTION V3 AND TAILORED CNN BLOCKS. In S. Banerjee, S. K. . Majumdar, R. . Bhandari, & A. . Biswas (Eds.), Exploring Smart and Innovative Solutions for a Sustainable Future (pp. 144-147). Deep Science Publishing. https://doi.org/10.70593/978-93-7185-465-8_28