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:
Superpixel-Oriented Label Distribution Learning for Skin Lesion Segmentation
Qiaoer Zhou, Tingting He, Yuanwen Zou
Diagnostics (2022) Vol. 12, Iss. 4, pp. 938-938
Open Access | Times Cited: 8
Qiaoer Zhou, Tingting He, Yuanwen Zou
Diagnostics (2022) Vol. 12, Iss. 4, pp. 938-938
Open Access | Times Cited: 8
Showing 8 citing articles:
A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 85
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 85
SASAN: ground truth for the effective segmentation and classification of skin cancer using biopsy images
Sajid Ullah Khan, Muhammad Asif Khan, Adeeb Noor, et al.
Diagnosis (2024) Vol. 11, Iss. 3, pp. 283-294
Closed Access | Times Cited: 2
Sajid Ullah Khan, Muhammad Asif Khan, Adeeb Noor, et al.
Diagnosis (2024) Vol. 11, Iss. 3, pp. 283-294
Closed Access | Times Cited: 2
CACDU-Net: A Novel DoubleU-Net Based Semantic Segmentation Model for Skin Lesions Detection in Images
Shengnan Hao, Haotian Wu, Chengyuan Du, et al.
IEEE Access (2023) Vol. 11, pp. 82449-82463
Open Access | Times Cited: 5
Shengnan Hao, Haotian Wu, Chengyuan Du, et al.
IEEE Access (2023) Vol. 11, pp. 82449-82463
Open Access | Times Cited: 5
Curriculum label distribution learning for imbalanced medical image segmentation
Xiangyu Li, Gongning Luo, Wei Wang, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102911-102911
Closed Access | Times Cited: 5
Xiangyu Li, Gongning Luo, Wei Wang, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102911-102911
Closed Access | Times Cited: 5
DTONet a Lightweight Model for Melanoma Segmentation
Shengnan Hao, Hongzan Wang, Rui Chen, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 390-390
Open Access | Times Cited: 1
Shengnan Hao, Hongzan Wang, Rui Chen, et al.
Bioengineering (2024) Vol. 11, Iss. 4, pp. 390-390
Open Access | Times Cited: 1
A Hybrid Approach Incorporating Superpixels for Diabetic Foot Lesion Segmentation Using YOLOv5 and SAM
Lucas Taipe, Jordi Bardales, Karelia Pena-Pena, et al.
(2024), pp. 1-4
Closed Access
Lucas Taipe, Jordi Bardales, Karelia Pena-Pena, et al.
(2024), pp. 1-4
Closed Access
Superpixel-Based Sparse Labeling for Efficient and Certain Medical Image Annotation
Somayeh Rezaei, Xiaoyi Jiang
Lecture notes in computer science (2024), pp. 376-390
Closed Access
Somayeh Rezaei, Xiaoyi Jiang
Lecture notes in computer science (2024), pp. 376-390
Closed Access
An ambiguity-aware classifier of lumbar disc degeneration
Yangjie Tang, Xiaofeng Wu, Lin Ouyang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109992-109992
Closed Access | Times Cited: 2
Yangjie Tang, Xiaofeng Wu, Lin Ouyang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109992-109992
Closed Access | Times Cited: 2
