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:
Diagnosis Assistance in Colposcopy by Segmenting Acetowhite Epithelium Using U-Net with Images before and after Acetic Acid Solution Application
Toshihiro Shinohara, Kosuke Murakami, Noriomi Matsumura
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1596-1596
Open Access | Times Cited: 7
Toshihiro Shinohara, Kosuke Murakami, Noriomi Matsumura
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1596-1596
Open Access | Times Cited: 7
Showing 7 citing articles:
Deep learning techniques for cervical cancer diagnosis based on pathology and colposcopy images
Hannah Ahmadzadeh Sarhangi, Dorsa Beigifard, Elahe Farmani, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101503-101503
Open Access | Times Cited: 6
Hannah Ahmadzadeh Sarhangi, Dorsa Beigifard, Elahe Farmani, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101503-101503
Open Access | Times Cited: 6
Attention-Enhanced Lightweight Architecture with Hybrid Loss for Colposcopic Image Segmentation
Priyadarshini Chatterjee, Shadab Siddiqui, Priyadarshini Chatterjee, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 781-781
Open Access
Priyadarshini Chatterjee, Shadab Siddiqui, Priyadarshini Chatterjee, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 781-781
Open Access
Colposcopic Image Segmentation Based on Feature Refinement and Attention
Yuxi He, Liping Liu, Jinliang Wang, et al.
IEEE Access (2024) Vol. 12, pp. 40856-40870
Open Access | Times Cited: 3
Yuxi He, Liping Liu, Jinliang Wang, et al.
IEEE Access (2024) Vol. 12, pp. 40856-40870
Open Access | Times Cited: 3
A segmentation model to detect cevical lesions based on machine learning of colposcopic images
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 7
Zhen Li, Chu-Mei Zeng, Yan-Gang Dong, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21043-e21043
Open Access | Times Cited: 7
Cervical lesion segmentation via transformer-based network with attention and boundary-aware modules
Nanyan Shen, Wei Lu, Jing Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Nanyan Shen, Wei Lu, Jing Li, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Real time mobile AI-assisted cervicography interpretation system
Siti Nurmaini, Muhammad Naufal Rachmatullah, Rizal Sanif, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101360-101360
Open Access | Times Cited: 3
Siti Nurmaini, Muhammad Naufal Rachmatullah, Rizal Sanif, et al.
Informatics in Medicine Unlocked (2023) Vol. 42, pp. 101360-101360
Open Access | Times Cited: 3
A Novel Approach for Lesion Detection in Colposcopy Images using Masking
Patcha Kirthi, Padira Anusha Chary, N. Sai Lohitha, et al.
(2024), pp. 1-6
Closed Access
Patcha Kirthi, Padira Anusha Chary, N. Sai Lohitha, et al.
(2024), pp. 1-6
Closed Access
