Cancers | Selected Papers in 2023 in the Section “Methods and Technologies Development”

We are pleased to invite you to read the selected papers in 2023 in Cancers (ISSN: 2072-6694) in the Section “Methods and Technologies Development”. The paper list is as follows:

“Systemic Therapy for Advanced Hepatocellular Carcinoma: Current Stand and Perspectives”
by Daniel M. Girardi, Lara P. Sousa, Thiago A. Miranda, Fernanda N. C. Haum, Gabriel C. B. Pereira and Allan A. L. Pereira
Cancers 2023, 15(6), 1680; https://doi.org/10.3390/cancers15061680
Available online: https://www.mdpi.com/2072-6694/15/6/1680

“Endoscopic Management of Large Non-Pedunculated Colorectal Polyps”
by Oliver Cronin and Michael J. Bourke
Cancers 2023, 15(15), 3805; https://doi.org/10.3390/cancers15153805
Available online: https://www.mdpi.com/2072-6694/15/15/3805

“Relative Risk of Bladder and Kidney Cancer in Lynch Syndrome: Systematic Review and Meta-Analysis”
by Anthony-Joe Nassour, Anika Jain, Nicholas Hui, George Siopis, James Symons and Henry Woo
Cancers 2023, 15(2), 506; https://doi.org/10.3390/cancers15020506
Available online: https://www.mdpi.com/2072-6694/15/2/506

“An Overview of Ovarian Cancer: The Role of Cancer Stem Cells in Chemoresistance and a Precision Medicine Approach Targeting the Wnt Pathway with the Antagonist sFRP4”
by Lavanya Varier, Mohana Sundaram, Naisarg Gamit and Sudha Warrier
Cancers 2023, 15(4), 1275; https://doi.org/10.3390/cancers15041275
Available online: https://www.mdpi.com/2072-6694/15/4/1275

“MR-Class: A Python Tool for Brain MR Image Classification Utilizing One-vs-All DCNNs to Deal with the Open-Set Recognition Problem”
by Patrick Salome, Francesco Sforazzini, Gianluca Brugnara, Andreas Kudak, Matthias Dostal, Christel Herold-Mende, Sabine Heiland, Jürgen Debus, Amir Abdollahi and Maximilian Knoll
Cancers 2023, 15(6), 1820; https://doi.org/10.3390/cancers15061820
Available online: https://www.mdpi.com/2072-6694/15/6/1820

“Artificial Intelligence in Lung Cancer Screening: The Future Is Now”
by Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, Vittoria Chiarpenello, Marco Costa, Zakaria Vincenzo, Daniele Pais, Maria Vittoria Bausano, Nicolò Rossini, Alessandra Bruno et al.
Cancers 2023, 15(17), 4344; https://doi.org/10.3390/cancers15174344
Available online: https://www.mdpi.com/2072-6694/15/17/4344

“Development of a Novel Intra-Operative Score to Record Diseases’ Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence”
by Alexandros Laios, Evangelos Kalampokis, Racheal Johnson, Sarika Munot, Amudha Thangavelu, Richard Hutson, Tim Broadhead, Georgios Theophilou, David Nugent and Diederick De Jong
Cancers 2023, 15(3), 966; https://doi.org/10.3390/cancers15030966
Available online: https://www.mdpi.com/2072-6694/15/3/966

“Prostate Cancer and Its Mimics—A Pictorial Review”
by Anna Żurowska, Rafał Pęksa, Michał Bieńkowski, Katarzyna Skrobisz, Marek Sowa, Marcin Matuszewski, Wojciech Biernat and Edyta Szurowska
Cancers 2023, 15(14), 3682; https://doi.org/10.3390/cancers15143682
Available online: https://www.mdpi.com/2072-6694/15/14/3682

“Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?”
by Antonio Z. Gimeno-García, Anjara Hernández-Pérez, David Nicolás-Pérez and Manuel Hernández-Guerra
Cancers 2023, 15(8), 2193; https://doi.org/10.3390/cancers15082193
Available online: https://www.mdpi.com/2072-6694/15/8/2193

“Chimp Optimization Algorithm Influenced Type-2 Intuitionistic Fuzzy C-Means Clustering-Based Breast Cancer Detection System”
by Prasanalakshmi Balaji, Vasanthi Muniasamy, Syeda Meraj Bilfaqih, Anandhavalli Muniasamy, Sridevi Tharanidharan, Devi Mani and Linda Elzubir Gasm Alsid
Cancers 2023, 15(4), 1131; https://doi.org/10.3390/cancers15041131
Available online: https://www.mdpi.com/2072-6694/15/4/1131

“Sutureless Purely Off-Clamp Robot-Assisted Partial Nephrectomy: Avoiding Renorrhaphy Does Not Jeopardize Surgical and Functional Outcomes”
by Aldo Brassetti, Leonardo Misuraca, Umberto Anceschi, Alfredo Maria Bove, Manuela Costantini, Maria Consiglia Ferriero, Salvatore Guaglianone, Riccardo Mastroianni, Giulia Torregiani, Marco Covotta et al.
Cancers 2023, 15(3), 698; https://doi.org/10.3390/cancers15030698
Available online: https://www.mdpi.com/2072-6694/15/3/698

“Deep Learning Model Based on Contrast-Enhanced Computed Tomography Imaging to Predict Postoperative Early Recurrence after the Curative Resection of a Solitary Hepatocellular Carcinoma”
by Masahiko Kinoshita, Daiju Ueda, Toshimasa Matsumoto, Hiroji Shinkawa, Akira Yamamoto, Masatsugu Shiba, Takuma Okada, Naoki Tani, Shogo Tanaka, Kenjiro Kimura et al.
Cancers 2023, 15(7), 2140; https://doi.org/10.3390/cancers15072140
Available online: https://www.mdpi.com/2072-6694/15/7/2140

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