A Grad-CAM-based knowledge distillation method for the detection of tuberculosis
Automatic screening for tuberculosis (TB) from X-ray images using artificial intelligence techniques has attracted the attention of researchers in the fields of computing and medicine. However, existing models are computationally intensive and require high computer hardware, which limits the use of...
Main Authors: | Ding, Zeyu, Yaakob, Razali, Azman, Azreen, Mohd Rum, Siti Nurulain, Zakaria, Norfadhlina, Ahmad Nazri, Azree Shahril |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE
2023
|
Similar Items
-
TBVA-GAN: a class activation mapping-guided tuberculosis visual attribution generative adversarial network
by: Ding, Zeyu, et al.
Published: (2023) -
Artificial intelligence in diagnosing tuberculosis: a review
by: Meraj, Syeda Shaizadi, et al.
Published: (2019) -
Detection of pulmonary tuberculosis manifestation in chest x-rays using different Convolutional Neural Network (CNN) models
by: Meraj, Syeda Shaizadi, et al.
Published: (2019) -
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
by: Jahmunah, V., et al.
Published: (2022) -
Comparison of class activation maps & gradient based class activation (GRAD-CAM) algorithm
by: Lim, Cheng Yun
Published: (2023)