Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most
expensive malignancy to treat over the patients' lifetime. In recent years a number of studies …

Simple Summary The diagnosis and prediction of prognosis for bladder cancer (BC) can be
challenging because of the subjective nature of pathological evaluation. Artificial …

Urinalysis is a significant diagnostic tool for the detection of various diseases. The recent
surge in the applications of artificial intelligence (AI) has revolutionized the medical industry …

Recent Advancements in Deep Learning Using Whole Slide Imaging for Cancer Prognosis Next
Article in Journal A Boundary-Enhanced Liver Segmentation Network for Multi-Phase CT …

Background Quantity and the spatial relationship of specific immune cell types can provide
prognostic information in bladder cancer. Objective To characterize the spatial interplay and …

Simple Summary Accurate prognostic assessment of bladder cancer patients is essential for
risk stratification, individualized therapeutic decision-making and follow-up management. In …

Simple Summary Survival prediction of bladder cancer patients following cystectomy is
essential for treatment planning. We propose a hybrid method that integrates clinical …

Ensemble learning is a kind of machine learning method which can integrate multiple basic
learners together and achieve higher accuracy. Recently, single machine learning methods …

Tumour budding shows promise as a prognostic factor in various cancers, but its
widespread application is hindered by the lack of large, validated studies and standardized …

The grading of non-muscle invasive bladder cancer (NMIBC) continues to face challenges
due to subjective interpretations, which affect the assessment of its severity. To address this …