20 February 2024
Cancers | Highly Viewed Papers and Hot Topic Special Issues on Cancer Informatics and Big Data
We are delighted to share some highly viewed papers on cancer informatics and big data that were published in Cancers (ISSN: 2072-6694) in 2023. In addition, some Special Issues on this topic are open for submission. The following is a list of relevant papers and Special Issues that we believe will interest you:
“Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer”
by John-Melle Bokhorst, Iris D. Nagtegaal, Inti Zlobec, Heather Dawson, Kieran Sheahan, Femke Simmer, Richard Kirsch, Michael Vieth, Alessandro Lugli, Jeroen van der Laak et al.
Cancers 2023, 15(7), 2079; https://doi.org/10.3390/cancers15072079
Available online: https://www.mdpi.com/2072-6694/15/7/2079
“The Role of AI in Breast Cancer Lymph Node Classification: A Comprehensive Review”
by Josip Vrdoljak, Ante Krešo, Marko Kumrić, Dinko Martinović, Ivan Cvitković, Marko Grahovac, Josip Vickov, Josipa Bukić and Joško Božic
Cancers 2023, 15(8), 2400; https://doi.org/10.3390/cancers15082400
Available online: https://www.mdpi.com/2072-6694/15/8/2400
“Multimodal Data Integration to Predict Severe Acute Oral Mucositis of Nasopharyngeal Carcinoma Patients Following Radiation Therapy”
by Yanjing Dong, Jiang Zhang, Saikt Lam, Xinyu Zhang, Anran Liu, Xinzhi Teng, Xinyang Han, Jin Cao, Hongxiang Li, Francis Karho Lee et al.
Cancers 2023, 15(7), 2032; https://doi.org/10.3390/cancers15072032
Available online: https://www.mdpi.com/2072-6694/15/7/2032
“NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images”
by Usama Sajjad, Mostafa Rezapour, Ziyu Su, Gary H. Tozbikian, Metin N. Gurcan and M. Khalid Khan Niazi
Cancers 2023, 15(13), 3428; https://doi.org/10.3390/cancers15133428
Available online: https://www.mdpi.com/2072-6694/15/13/3428
“Comparative Analysis of Three Predictive Models of Performance Indicators with Results-Based Management: Cancer Data Statistics in a National Institute of Health”
by Joel Martínez-Salazar and Filiberto Toledano-Toledano
Cancers 2023, 15(18), 4649; https://doi.org/10.3390/cancers15184649
Available online: https://www.mdpi.com/2072-6694/15/18/4649
“Identification of Novel Diagnostic and Prognostic Gene Signature Biomarkers for Breast Cancer Using Artificial Intelligence and Machine Learning Assisted Transcriptomics Analysis”
by Zeenat Mirza, Md Shahid Ansari, Md Shahid Iqbal, Nesar Ahmad, Nofe Alganmi, Haneen Banjar, Mohammed H. Al-Qahtani and Sajjad Karim
Cancers 2023, 15(12), 3237; https://doi.org/10.3390/cancers15123237
Available online: https://www.mdpi.com/2072-6694/15/12/3237
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“Artificial Intelligence in Cancer Research: Knowledge Representation and Data Perspectives” Edited by Dr. Catia Pesquita and Dr. Andreas Schlicker
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“Advances in Cancer Data and Statistics” Edited by Prof. Dr. Vesna Zadnik |
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“Novel Approaches to Machine Learning and Artificial Intelligence in Cancer Research and Care” Edited by Dr. Caroline Chung and Dr. Christopher Gibbons
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“Next Generation Sequencing for Cancer Diagnostics” Edited by Dr. Gayatry Mohapatra
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You are invited to view and submit relevant papers to the journal Cancers at the following link:
https://www.mdpi.com/journal/cancers
Cancers Editorial Office
