Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automatic Segmentation and Classification of Liver Abnormalities Using Fractal Dimension
Ahmed M. Anter, Aboul Ella Hassanien, Gerald Schaefer
(2013), pp. 937-941
Closed Access | Times Cited: 11

Showing 11 citing articles:

Modified U-Net for liver cancer segmentation from computed tomography images with a new class balancing method
Yodit Abebe Ayalew, Kinde Anlay Fante, Mohammed Aliy Mohammed
BMC Biomedical Engineering (2021) Vol. 3, Iss. 1
Open Access | Times Cited: 87
Innovative Method for Detecting Liver Cancer using Auto Encoder and Single Feed Forward Neural Network
B Sowparnika, Kalva Yamini, Md. Abul Ala Walid, et al.
(2023), pp. 156-161
Closed Access | Times Cited: 13
Architecture Optimization for Hybrid Deep Residual Networks in Liver Tumor Segmentation Using a GA
Mohamed R. Torkomany, Amany Sarhan, M. Arafa
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Recent Survey on Medical Image Segmentation
Mohammed A.‐M. Salem, Alaa Atef, Alaa Salah, et al.
Advances in computational intelligence and robotics book series (2017), pp. 424-464
Closed Access | Times Cited: 29
Detection of Liver Cancer through Computed Tomography Images using Deep Convolutional Neural Networks
Zunaira Naaqvi, Shahzad Akbar, Syed Ale Hassan, et al.
(2022), pp. 1-6
Closed Access | Times Cited: 10
Recent Survey on Medical Image Segmentation
Mohammed A.‐M. Salem, Alaa Atef, Alaa Salah, et al.
IGI Global eBooks (2018), pp. 129-169
Closed Access | Times Cited: 18
Computational Intelligence Optimization Algorithm Based on Meta-heuristic Social-Spider: Case Study on CT Liver Tumor Diagnosis
Mohamed Abu, M. Ahmed
International Journal of Advanced Computer Science and Applications (2016) Vol. 7, Iss. 4
Open Access | Times Cited: 15
Automatic segmentation and classification of the liver tumor using deep learning algorithms
P R Aparna, T M Libish
(2023), pp. 334-339
Closed Access | Times Cited: 4
Normalized Multiple Features Fusion Based on PCA and Multiple Classifiers Voting in CT Liver Tumor Recognition
Ahmed M. Anter, Aboul Ella Hassenian
Studies in computational intelligence (2017), pp. 113-129
Closed Access | Times Cited: 13
Deep Learning Based Liver Cancer Segmentation from Computed Tomography Images
Yodit Abebe Ayalew, Kinde Anlay Fante, Mohammed Aliy Mohammed
Research Square (Research Square) (2020)
Open Access | Times Cited: 6
Table of contents

(2013)
Open Access
Page 1

Scroll to top