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Source Code for "MOSQUITO-NET: A Deep Learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps."

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Mosquito-Net

About the project

This repository hosts the source code of MOSQUITO-NET: A Deep Learning based CADx system for malaria diagnosis along with model interpretation using GradCam and CLass activation maps. This work has been published in Expert Systems. https://doi.org/10.1111/exsy.12695

Automatic classification of malaria infected blood smears deep learning approaches can be performed using the framework available here: https://malaria.zyik.ml/.

Mosquito-Net (Mish version)

Mosquito net with a different activation function Mish. Slightly improved performance.

Mosquito-Net V2 (Mobile version)

A more optimized version of MosquitoNet with Depthwise Seperable Convolutions for mobile devices accepted & presented inICML 2020, MLGH Workshop Poster

The project is live at https://zyik.ml/

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Source Code for "MOSQUITO-NET: A Deep Learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps."

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