3D automatic levels propagation approach to breast MRI tumor segmentation-Reference-Cited by-同舟云学术

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3D automatic levels propagation approach to breast MRI tumor segmentation

Published:2021-03 Issue: Volume:165 Page:113965
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Bouchebbah Fatah,Slimani Hachem

Funder

General Directorate for Scientific Research and Technological Development

Ministry of Higher Education and Scientific Research (DGRSDT), Algeria

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Computer-aided segmentation system for breast MRI tumour using modified automatic seeded region growing (BMRI-MASRG);Al-Faris;Journal of Digital Imaging,2014

2. A new interactive self-training approach to segmentation suspicious lesions in breast MRI;Azmi;Journal Medical Signals Sensors,2011

3. Spatiotemporal features of DCE-MRI for breast cancer diagnosis;Banaie;Computer Methods and Programs in Biomedicine,2018

4. Levels propagation approach to image segmentation: application to breast MR images;Bouchebbah;Journal of Digital Imaging,2019

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2. Deep learning-based tumor segmentation and classification in breast MRI with 3TP method;Biomedical Signal Processing and Control;2024-07

3. BC- MRI -SEG: A Breast Cancer MRI Tumor Segmentation Benchmark;2024 IEEE 12th International Conference on Healthcare Informatics (ICHI);2024-06-03

4. A Review of Artificial Intelligence in Breast Imaging;Tomography;2024-05-09

5. An approach to the prediction of breast cancer response to neoadjuvant chemotherapy based on tumor habitats in DCE-MRI images;Expert Systems with Applications;2023-12

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