The method ensembles a 2-dimensional convolutional neural network (2D-CNN) with a 3D-CNN followed by a recurrent neural network (RNN). We used this approach and�...

The method ensembles a 2-dimensional convolutional neural network (2D-CNN) with a 3D-CNN followed by a recurrent neural network (RNN). We used this approach and�...

Oct 16, 2022 � It was an AI-medical competition where we were supposed to present models which are able to classify/predict the tuberculosis type based on a chest CT scan.

Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks � Emad Aghajanzadeh, Behzad Shomali�...

Classification of Tuberculosis Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural Networks. Conference Paper. Full-text available.

Sep 24, 2021 � Ghassemi, Classification of Tuberculosis. Type on CT Scans of Lungs using a fusion of 2D and 3D Deep Convolutional Neural. Networks, in�...

Apr 24, 2017 � Deep learning with convolutional neural networks can accurately classify tuberculosis at chest radiography with an area under the curve of 0.99.

Missing: Scans 2D 3D

Apr 29, 2024 � To create a reliable model for tuberculosis (TB) identification using chest X-ray pictures, we use deep learning approaches in this work.

In this paper, we present a novel multi-classification model, called the deep learning (DL)-based chest disease detection network (DCDD_Net), which uses a CXR,�...