Habib Fathallah

A convolutional neural network-based machine learning prototype for accurate identification of five Hyalomma tick species in Tunisia: Development and assessment of an experimental prototype.

Accurate tick species identification is essential for vector surveillance and control of tick-borne diseases, but conventional morphological diagnosis remains challenging for closely related Hyalomma species. This study developed and evaluated a deep learning-based framework for automated recognition of five medically...