A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation-Reference-Cited by-同舟云学术

A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation

Published:2020 Issue: Volume: Page:342-354
ISSN:0302-9743
Container-title:Intelligent Computing Theories and Application
language:
Short-container-title:

Author:

Altini Nicola,Prencipe Berardino,Brunetti Antonio,Brunetti Gioacchino,Triggiani Vito,Carnimeo Leonarda,Marino Francescomaria,Guerriero Andrea,Villani Laura,Scardapane Arnaldo,Cascarano Giacomo Donato

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-60799-9_30

Reference42 articles.

1. Hoyte, L., et al.: Segmentations of MRI images of the female pelvic floor: a study of inter- and intra-reader reliability. J. Magn. Reson. Imaging 33, 684–691 (2011). https://doi.org/10.1002/jmri.22478

2. Brunetti, A., Carnimeo, L., Trotta, G.F., Bevilacqua, V.: Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: a survey based on medical images. Neurocomputing 335, 274–298 (2019). https://doi.org/10.1016/j.neucom.2018.06.080

3. Altini, N., et al.: Semantic segmentation framework for glomeruli detection and classification in kidney histological sections. Electronics 9, 503 (2020). https://doi.org/10.3390/electronics9030503

4. Smart Innovation, Systems and Technologies;V Bevilacqua,2019

5. Randazzo, V., Ferretti, J., Pasero, E.: ECG WATCH: a real time wireless wearable ECG. In: 2019 IEEE International Symposium on Medical Measurements and Applications (MeMeA), pp. 1–6. IEEE (2019). https://doi.org/10.1109/memea.2019.8802210

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images;Biomedical Signal Processing and Control;2023-09

2. An Automated Deep Learning Approach for Spine Segmentation and Vertebrae Recognition Using Computed Tomography Images;Diagnostics;2023-08-12

3. 3D gravity anomaly inversion based on LinkNet;Applied Geophysics;2023-03

4. Automatic Hepatic Vessels Segmentation Using RORPO Vessel Enhancement Filter and 3D V-Net with Variant Dice Loss Function;Applied Sciences;2022-12-30

5. NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM;Bioengineering;2022-09-15