We propose a novel multimodal MRI-based computer-aided diagnosis (CAD) system that detects cancerous thyroid nodules using a deep-learning architecture.

In this paper, we propose a novel computer-aided system using a multi-input CNN-based framework to differentiate between malig- nant and benign thyroid nodules.

We propose a novel multimodal MRI-based computer-aided diagnosis (CAD) system that differentiates malignant from benign thyroid nodules. The ...

In [21] , the author explains that malignant nodules can be detected by using an MRI-based "computer assisted diagnostic" (CAD) system. A multi-input ...

Thyroid Cancer Computer-Aided Diagnosis System using MRI-Based Multi-Input CNN Model. A. Naglah, F. Khalifa, R. Khaled, A. Razek, A. El-Baz. 2021, IEEE ...

We propose a novel multimodal MRI-based computer-aided diagnosis (CAD) system that detects cancerous thyroid nodules using a deep-learning architecture.

Jun 4, 2021 · We propose a novel multimodal MRI-based computer-aided diagnosis (CAD) system that differentiates malignant from benign thyroid nodules.

A novel multimodal MRI-based computer-aided diagnosis system that differentiates malignant from benign thyroid nodules based on a novel convolutional neural ...

Jun 2, 2021 · Firstly, our system is the first of its kind to combine T2-weighted MRI and apparent diffusion coefficient (ADC) maps using a CNN to model ...

Overall, CNN are significantly efficient in diagnosing thyroid disease through medical imaging [53–57]. Multi-channel CNN for CAD design. Conventional CNN ...