IEEE

Enhancing Tuberculosis Diagnosis with DenseNet121 and Grad-CAM: A Deep Learning Approach for Accurate and Interpretable Chest X-ray Analysis

Abstract: In this paper, GradCAM has been used with a DenseNet121 architecture for classifying Tuberculosis. The model was trained and evaluated over the dataset of 420 chest X-ray images for the ...
IEEE

Explainable Brain Tumor Classification using CNN and GradCAM

Abstract: One of the most critical neurological conditions is Brain tumors, timely and correct diagnosis is needed for effective treatment. Advances in neuroimaging technology such as MRI, limitations ...
GitHub

Reliability-Oriented Evaluation of Deep Traffic Sign Classification Models

The experiments evaluate clean GTSRB classification performance, multi-seed training stability, bootstrap confidence intervals, McNemar paired statistical testing, probabilistic calibration, ...
GitHub

TensorFlow Lite Micro Library for Arduino

This is a port of the TensorFlow Lite Micro Library to the Arduino platform, aimed at enabling Tiny Machine Learning (TinyML) experiments on all Arduino boards with mbed or ESP32 architecture. Tested ...