Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework · 3.1 Results of T1-MR image ...

Jan 18, 2022 · Manual assessment of parotid gland status from magnetic resonance imaging is a subjective, time consuming and error prone process.

Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework. Language: English

In this paper, we propose a fully automatic method that can consistently segment PG lesion of MR images. As a first step in our proposed methodology, and after ...

Aug 31, 2021 · An automatic method to perform both segmentation and classification of Parotid gland region in order to give quantitative assessment and ...

In this paper, we propose an automatic method to perform both segmentation and classification of Parotid gland region in order to give quantitative assessment ...

Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework. Traitement du Signal ...

May 15, 2024 · A deep learning model for classification of parotid neoplasms based on multimodal magnetic resonance image sequences.

This study aims to develop an algorithm for the automatic segmentation of the parotid gland on CT images of the head and neck using U-Net architecture

In this paper, we propose an automatic method to perform both segmentation and classification of Parotid gland region in order to give quantitative assessment ...