… for TB detection in a patient's radiography. We propose an automatic TB detection system
for … Figure 5 shows a block diagram of the proposed TB detection system. Each block in the …

… This work presents an advanced neural network architecture optimized for tuberculosis
diagnosis. We can train this specialized architecture from scratch and achieve good results …

… of TB and non-TB bacilli. Here in this paper, CNN-based recognition approaches are used
for the classification of TB and non-TB bacilli. … Proposed TB detection system architecture …

… As a result, by leveraging visual attention condensers, the proposed TB-Net network
architecture design facilitates for high TB screening performance by better focusing its attention on …

… Integrating the content of the previous section with the E-TBNet classification network
architecture proposed in this paper, Figure 3 illustrates the overview of our E-TBNet. …

… architectures, we are trying to achieve radiologist level detection as well as lower False
Negative detection of TB … which give probabilities of the chest x-ray to be normal or TB affected. …

… We apply CNNs on chest X-ray (CXR) dataset to identify if the patient has Tuberculosis (TB).
Our goal is to develop a generalized model which takes care of all the complex …

… network based TB diagnosis methodology with recall and precision of 83.78% and 67.55%
respectively for bacillus detection … Our neural network architecture is inspired from [5] due to …

… method for TB detection. CNNs are based on feed-forward neural network architectures and
… The performance of extracted features in CNN depends on the depth of the architecture. As …

… architectures like ResNet[25], DenseNet [26], and MobileNet[27]. In this paper, we have
discussed thoroughly the task which is the detection of tuberculosis … classified to tuberculosis of …