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OpenAlex Citation Counts

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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:

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
Solene Bechelli, Jérôme Delhommelle
Bioengineering (2022) Vol. 9, Iss. 3, pp. 97-97
Open Access | Times Cited: 90

Showing 51-75 of 90 citing articles:

Deep Learning Algorithms for Skin Cancer Classification
Mariame Oumoulylte, Ahmad El Allaoui, Yousef Farhaoui, et al.
Lecture notes in networks and systems (2023), pp. 345-351
Closed Access | Times Cited: 2
Detection of Corneal Ulcer Using a Genetic Algorithm-Based Image Selection and Residual Neural Network
Tugba Inneci, Hasan Badem
Bioengineering (2023) Vol. 10, Iss. 6, pp. 639-639
Open Access | Times Cited: 2
Multi-stage feature extraction-based classification of skin cancer detection
A. Bindhu, K. K. Thanammal
Soft Computing (2023) Vol. 28, Iss. S2, pp. 633-633
Closed Access | Times Cited: 2
Artificial Intelligence Algorithms for Benign vs. Malignant Dermoscopic Skin Lesion Image Classification
Francesca Brutti, Federica La Rosa, Linda Lazzeri, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1322-1322
Open Access | Times Cited: 2
Investigating The Effectiveness of Various Convolutional Neural Network Model Architectures for Skin Cancer Melanoma Classification
Rizky Hafizh Jatmiko, Yoga Pristyanto
Matrik Jurnal Manajemen Teknik Informatika dan Rekayasa Komputer (2023) Vol. 23, Iss. 1, pp. 1-16
Open Access | Times Cited: 2
Entropy and Gaussian Filter-Based Adaptive Active Contour for Segmentation of Skin Lesions
Saleem Mustafa, Muhammad Waseem Iqbal, Toqir A. Rana, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 3
Skin Cancer Detection with Metadata Using Deep Learning Strategies
Nagaraju Devarakonda, M. V. Ramana Murthy, R. Reddy, et al.
Lecture notes in electrical engineering (2024), pp. 217-233
Closed Access
An Ensemble Approach for Multiclass Skin Lesion Classification from Dermoscopic Images
Niharika Gupta, Baijnath Kaushik, Akshma Chadha, et al.
Algorithms for intelligent systems (2024), pp. 267-277
Closed Access
Effective skin cancer prediction using hybrid Xception and XGBoost approach tuned by honey badger optimization
T. Naveena, S. Jerine
Multimedia Tools and Applications (2024)
Closed Access
Deep learning for early detection of papillary bladder cancer on a limited set of cystoscopic images
Vlada Rozova, Carlo Russo, Vladimir Lekarev, et al.
Sechenov Medical Journal (2024) Vol. 15, Iss. 1, pp. 61-70
Open Access
Genomic technology advances and the promise for precision medicine
Jacopo Umberto Verga, Adam Lloyd, Arthur Sarron, et al.
Therapeutic Drug Monitoring (2024), pp. 355-371
Closed Access
Analytic validation of convolutional neural network-based classification of pigmented skin lesions (PSLs) using unseen PSL hyperspectral data for clinical applications
Eun Jeong Heo, Chun Gun Park, Kyung Hwan Chang, et al.
Journal of the Korean Physical Society (2024) Vol. 84, Iss. 11, pp. 889-897
Closed Access
Classification of Dermoscopic Images Using CNN-SVM
Agus Eko Minarno, Muhammad Yusuf Fadhlan, Yuda Munarko, et al.
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 2, pp. 606-606
Open Access
EfficientSkinCaSV2B3: An Efficient Framework Towards Improving Skin Classification and Segmentation
Quy Lu Thanh, Triet Minh Nguyen
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Enhancing Skin Disease Diagnosis Through Deep Learning: A Comprehensive Study on Dermoscopic Image Preprocessing and Classification
Elif Nur Haner Kırğıl, Çağatay Berke Erdaş
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Open Access
A Review on the Various Methods for Classifying Skin Cancer
Suresh Annepu, Sampada Saidhu, Jyothsna Vurla, et al.
(2024), pp. 284-289
Closed Access
Skin Cancer Classification by Leveraging Segment Anything Model for Semantic Segmentation of Skin Lesion
Mani Abedini
IJARCCE (2024) Vol. 13, Iss. 8
Open Access
Hyper-parameter Tuning of CNN Using Improved Elephant Herding Optimisation for Detection of Skin Cancer
V Asha, N. Uma, G. Siva Shankar, et al.
Lecture notes in networks and systems (2024), pp. 155-168
Closed Access
Transforming Skin Cancer Diagnosis: A Deep Learning Approach with the Ham10000 Dataset
A. T. Priyeshkumar, Shyamala Guruvare, T Vasanth, et al.
Cancer Investigation (2024) Vol. 42, Iss. 10, pp. 801-814
Closed Access
MSC: A Framework with Advanced Sampling Methods for Skin Cancer Classification
Thuan Van Tran, Triet Minh Nguyen, Quy Thanh Lu
Lecture notes in computer science (2024), pp. 123-137
Closed Access
An Efficient Approach towards Skin Cancer Diagnosis with EfficientNetB3
Prosenjit Saha, Ranjit Ghoshal, Arijit Ghosal
Journal of Innovative Image Processing (2024) Vol. 6, Iss. 4, pp. 346-364
Open Access
Optimization of Imaging Reconnaissance Systems Using Super-Resolution: Efficiency Analysis in Interference Conditions
Marta Bistroń, Zbigniew Piotrowski
Sensors (2024) Vol. 24, Iss. 24, pp. 7977-7977
Open Access
Deep Transfer Learning untuk Meningkatkan Akurasi Klasifikasi pada Citra Dermoskopi Kanker Kulit
Qorry Aina Fitroh, Shofwatul Uyun
Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI) (2023) Vol. 12, Iss. 2, pp. 78-84
Open Access | Times Cited: 1
Accuracy of a Smartphone-Based Artificial Intelligence Application for Classification of Melanomas, Melanocytic Nevi, and Seborrheic Keratoses
Jokūbas Liutkus, Artūras Kriukas, Dominyka Stragytė, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2139-2139
Open Access | Times Cited: 1
An Identification Method of Feature Interpretation for Melanoma Using Machine Learning
Zhenwei Li, Qing Ji, Xiaoli Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10076-10076
Open Access | Times Cited: 1

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