Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach

Sarkar S, Min K, Ikram W, Tatton RW, Riaz IB, Silva AC, Bryce AH, Moore C, Ho TH, Sonpavde G, Abdul-Muhsin HM, Singh P, Wu T (2023)

Publication Type: Journal article

Publication year: 2023

Journal

Cancers MDPI

Book Volume: 15

Article Number: 1673

Journal Issue: 6

DOI: 10.3390/cancers15061673

Abstract

Accurate clinical staging of bladder cancer aids in optimizing the process of clinical decision-making, thereby tailoring the effective treatment and management of patients. While several radiomics approaches have been developed to facilitate the process of clinical diagnosis and staging of bladder cancer using grayscale computed tomography (CT) scans, the performances of these models have been low, with little validation and no clear consensus on specific imaging signatures. We propose a hybrid framework comprising pre-trained deep neural networks for feature extraction, in combination with statistical machine learning techniques for classification, which is capable of performing the following classification tasks: (1) bladder cancer tissue vs. normal tissue, (2) muscle-invasive bladder cancer (MIBC) vs. non-muscle-invasive bladder cancer (NMIBC), and (3) post-treatment changes (PTC) vs. MIBC.

Authors with CRIS profile

Suryadipto Sarkar Professur für Biomedical Network Science

Involved external institutions

Mayo Clinic US United States (USA) (US) Harvard University US United States (USA) (US) Arizona State University (ASU) US United States (USA) (US)

How to cite

APA:

Sarkar, S., Min, K., Ikram, W., Tatton, R.W., Riaz, I.B., Silva, A.C.,... Wu, T. (2023). Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach. Cancers, 15(6). https://dx.doi.org/10.3390/cancers15061673

MLA:

Sarkar, Suryadipto, et al. "Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach." Cancers 15.6 (2023).

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