Demystifying Deep Learning Models for Retinal OCT Disease Classification using Explainable AI

no code implementations • 6 Nov 2021 • Tasnim Sakib Apon, Mohammad Mahmudul Hasan, Abrar Islam, Md. Golam Rabiul Alam

In the world of medical diagnostics, the adoption of various deep learning techniques is quite common as well as effective, and its statement is equally true when it comes to implementing it into the retina Optical Coherence Tomography (OCT) sector, but (i)These techniques have the black box characteristics that prevent the medical professionals to completely trust the results generated from them (ii)Lack of precision of these methods restricts their implementation in clinical and complex cases (iii)The existing works and models on the OCT classification are substantially large and complicated and they require a considerable amount of memory and computational power, reducing the quality of classifiers in real-time applications.

Retinal OCT Disease Classification