Towards a deep augmented reality medical images diagnosis generation
by Sabrine Benzarti; Wahiba Ben Abdessalem Karaa; Henda Hajjami Ben Ghezala
International Journal of Image Mining (IJIM), Vol. 4, No. 1, 2021

Abstract: Augmented reality (AR) and deep learning (DL) are promising areas. In this paper, we present the impact of such assortment (AR/DL) on the enhancement of generating textual and oral descriptions from a target medical image. The main purpose is to assist medical practitioners to make an accurate decision about a generated diagnosis. Automatic medical image report generation (textual and vocal) is used up as a diagnostic aid system for disease diagnoses depend strongly on visual properties. In this paper, we will describe how we develop an augmented report for the X-ray image target. Primary results using prototypes are promising. Doctors, learner's task are more efficient and feedbacks are encouraging.

Online publication date: Mon, 21-Jun-2021

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