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28 September 2025
Cancers | 2024 Selected Papers Related to Methods and Technologies Development

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Cancers (ISSN: 2072-6694) is an open access journal, thus granting our readers free and unlimited access to the full text of all articles. We welcome you to read our selected papers related to methods and technologies development in 2024, which are listed below:
1. “Update on Renal Cell Carcinoma Diagnosis with Novel Imaging Approaches”
by Marie-France Bellin, Catarina Valente, Omar Bekdache, Florian Maxwell, Cristina Balasa, Alexia Savignac and Olivier Meyrignac
Cancers 2024, 16(10), 1926; https://doi.org/10.3390/cancers16101926
Available online: https://www.mdpi.com/2072-6694/16/10/1926
2. “A Hybrid Deep Learning and Machine Learning Approach with Mobile-EfficientNet and Grey Wolf Optimizer for Lung and Colon Cancer Histopathology Classification”
by Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa and Julio Alberto García-Rodríguez
Cancers 2024, 16(22), 3791; https://doi.org/10.3390/cancers16223791
Available online: https://www.mdpi.com/2072-6694/16/22/3791
3. “Photodynamic Therapy and Adaptive Immunity Induced by Reactive Oxygen Species: Recent Reports”
by David Aebisher, Paweł Woźnicki and Dorota Bartusik-Aebisher
Cancers 2024, 16(5), 967; https://doi.org/10.3390/cancers16050967
Available online: https://www.mdpi.com/2072-6694/16/5/967
4. “Assessing Trifecta and Pentafecta Success Rates between Robot-Assisted vs. Open Radical Cystectomy: A Propensity Score-Matched Analysis”
by Filippo Gavi, Nazario Foschi, Daniele Fettucciari, Pierluigi Russo, Diana Giannarelli, Mauro Ragonese, Carlo Gandi, Giovanni Balocchi, Alessandra Francocci, Francesco Pio Bizzarri et al.
Cancers 2024, 16(7), 1270; https://doi.org/10.3390/cancers16071270
Available online: https://www.mdpi.com/2072-6694/16/7/1270
5. “Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence”
by Ashwin Mukund, Muhammad Ali Afridi, Aleksandra Karolak, Margaret A. Park, Jennifer B. Permuth and Ghulam Rasool
Cancers 2024, 16(12), 2240; https://doi.org/10.3390/cancers16122240
Available online: https://www.mdpi.com/2072-6694/16/12/2240
6. “Review of Related Factors for Persistent Risk of Hepatitis B Virus-Associated Hepatocellular Carcinoma”
by Nevin Varghese, Amry Majeed, Suraj Nyalakonda, Tina Boortalary, Dina Halegoua-DeMarzio and Hie-Won Hann
Cancers 2024, 16(4), 777; https://doi.org/10.3390/cancers16040777
Available online: https://www.mdpi.com/2072-6694/16/4/777
7. “Grad-CAM Enabled Breast Cancer Classification with a 3D Inception-ResNet V2: Empowering Radiologists with Explainable Insights”
by Fatma M. Talaat, Samah A. Gamel, Rana Mohamed El-Balka, Mohamed Shehata and Hanaa ZainEldin
Cancers 2024, 16(21), 3668; https://doi.org/10.3390/cancers16213668
Available online: https://www.mdpi.com/2072-6694/16/21/3668
8. “Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma”
by Fereshteh Yousefirizi, Claire Gowdy, Ivan S. Klyuzhin, Maziar Sabouri, Petter Tonseth, Anna R. Hayden, Donald Wilson, Laurie H. Sehn, David W. Scott, Christian Steidl et al.
Cancers 2024, 16(6), 1090; https://doi.org/10.3390/cancers16061090
Available online: https://www.mdpi.com/2072-6694/16/6/1090
9. “Performance of Commercial Dermatoscopic Systems That Incorporate Artificial Intelligence for the Identification of Melanoma in General Practice: A Systematic Review”
by Ian Miller, Nedeljka Rosic, Michael Stapelberg, Jeremy Hudson, Paul Coxon, James Furness, Joe Walsh and Mike Climstein
Cancers 2024, 16(7), 1443; https://doi.org/10.3390/cancers16071443
Available online: https://www.mdpi.com/2072-6694/16/7/1443
10. “Single-Port Extraperitoneal vs. Multiport Transperitoneal Robot-Assisted Radical Prostatectomy: A Propensity Score-Matched Analysis”
by Jaya S. Chavali, Adriana M. Pedraza, Nicolas A. Soputro, Roxana Ramos-Carpinteyro, Carter D. Mikesell and Jihad Kaouk
Cancers 2024, 16(17), 2994; https://doi.org/10.3390/cancers16172994
Available online: https://www.mdpi.com/2072-6694/16/17/2994
You can view more papers and submit your own manuscript to Cancers via https://www.mdpi.com/journal/cancers.
Cancers Editorial Office