MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons
Precise determination and assessment of bladder cancer (BC) extent of muscle invasion
involvement guides proper risk stratification and personalized therapy selection. In this …
involvement guides proper risk stratification and personalized therapy selection. In this …
Deep learning in bladder cancer imaging: A review
M Li, Z Jiang, W Shen, H Liu - Frontiers in Oncology, 2022 - frontiersin.org
Deep learning (DL) is a rapidly developing field in machine learning (ML). The concept of
deep learning originates from research on artificial neural networks and is an upgrade of …
deep learning originates from research on artificial neural networks and is an upgrade of …
A multiparametric MRI-based CAD system for accurate diagnosis of bladder cancer staging
Appropriate treatment of bladder cancer (BC) is widely based on accurate and early BC
staging. In this paper, a multiparametric computer-aided diagnostic (MP-CAD) system is …
staging. In this paper, a multiparametric computer-aided diagnostic (MP-CAD) system is …
Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features: A two-center study
Y Moribata, Y Kurata, M Nishio, A Kido, S Otani… - Scientific Reports, 2023 - nature.com
This study aimed to develop a versatile automatic segmentation model of bladder cancer
(BC) on MRI using a convolutional neural network and investigate the robustness of …
(BC) on MRI using a convolutional neural network and investigate the robustness of …
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) …
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 …
A cad system for accurate diagnosis of bladder cancer staging using a multiparametric mri
In this paper, a computer-aided diagnostic (CAD) system is developed using a
multiparametric magnetic resonance imaging (MPMRI)(T2-MRI and DW-MRI) to differentiate …
multiparametric magnetic resonance imaging (MPMRI)(T2-MRI and DW-MRI) to differentiate …
Involving logical clinical knowledge into deep neural networks to improve bladder tumor segmentation
Segmentation of bladder tumors from medical radiographic images is of great significance
for early detection, diagnosis and prognosis evaluation of bladder cancer. Deep Convolution …
for early detection, diagnosis and prognosis evaluation of bladder cancer. Deep Convolution …
Artificial intelligence based framework to quantify the cardiomyocyte structural integrity in heart slices
Purpose Drug induced cardiac toxicity is a disruption of the functionality of cardiomyocytes
which is highly correlated to the organization of the subcellular structures. We can analyze …
which is highly correlated to the organization of the subcellular structures. We can analyze …
An accurate deep learning-based computer-aided diagnosis system for early diagnosis of prostate cancer
This chapter introduces a system for early diagnosis of prostate cancer using a convolutional
neural network (CNN) from diffusion-weighted imaging (DWI) acquired at seven b-values …
neural network (CNN) from diffusion-weighted imaging (DWI) acquired at seven b-values …