Advances in diagnosis and therapy for bladder cancer
X Hu, G Li, S Wu - Cancers, 2022 - mdpi.com
Simple Summary The clinical management of bladder cancer has been developing in the
past decade, including diagnostic tools and treatment options. Both monotherapy and …
past decade, including diagnostic tools and treatment options. Both monotherapy and …
MRI-based radiomics in bladder cancer: a systematic review and radiomics quality score assessment
B Boca, C Caraiani, T Telecan, R Pintican, A Lebovici… - Diagnostics, 2023 - mdpi.com
(1): Background: With the recent introduction of vesical imaging reporting and data system
(VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used …
(VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used …
Performing automatic identification and staging of urothelial carcinoma in bladder cancer patients using a hybrid deep-machine learning approach
Simple Summary Early and accurate bladder cancer staging is important as it determines
the mode of initial treatment. Non-muscle invasive bladder cancer (NMIBC) can be treated …
the mode of initial treatment. Non-muscle invasive bladder cancer (NMIBC) can be treated …
Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning
J Li, Z Qiu, K Cao, L Deng, W Zhang, C Xie… - Computer Methods and …, 2023 - Elsevier
Background and objectives Radiomics and deep learning are two popular technologies
used to develop computer-aided detection and diagnosis schemes for analysing medical …
used to develop computer-aided detection and diagnosis schemes for analysing medical …
A deep learning pipeline for grade groups classification using digitized prostate biopsy specimens
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we
develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) …
develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) …
Study of the Current Trends of CAD (Computer-Aided Detection) in Modern Medical Imaging
R Barua, J Mondal - Machine Learning and AI Techniques in …, 2023 - igi-global.com
CAD or computer-aided detection is a valuable performance for exactly understanding
medical images. Also, it has a worldwide business prospect. The present features …
medical images. Also, it has a worldwide business prospect. The present features …
The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: a mini review
X Huang, X Wang, X Lan, J Deng, Y Lei, F Lin - Frontiers in Oncology, 2022 - frontiersin.org
Bladder cancer is a common malignant tumor in the urinary system. Depending on whether
bladder cancer invades muscle tissue, it is classified into non-muscle-invasive bladder …
bladder cancer invades muscle tissue, it is classified into non-muscle-invasive bladder …
A machine learning model based on MRI for the preoperative prediction of bladder cancer invasion depth
G Chen, X Fan, T Wang, E Zhang, J Shao, S Chen… - European …, 2023 - Springer
Objectives To construct and validate a prediction model based on full-sequence MRI for
preoperatively evaluating the invasion depth of bladder cancer. Methods A total of 445 …
preoperatively evaluating the invasion depth of bladder cancer. Methods A total of 445 …
A brief review of artificial intelligence in genitourinary oncological imaging
Genitourinary (GU) system is among the most commonly involved malignancy sites in the
human body. Imaging plays a crucial role not only in diagnosis of cancer but also in disease …
human body. Imaging plays a crucial role not only in diagnosis of cancer but also in disease …
Multi-stage classification-based deep learning for gleason system grading using histopathological images
Simple Summary Prostate cancer (PC) is the most common cancer and the second that
causes death in the US. The means of PC treatment have improved with the low-risk disease …
causes death in the US. The means of PC treatment have improved with the low-risk disease …