Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images

Y Feng, CC Atabansi, J Nie, H Liu, H Zhou… - Biocybernetics and …, 2023 - Elsevier
Prostate cancer is one of the most commonly diagnosed non-cutaneous malignant tumors
and the sixth major cause of cancer-related death generally found in men globally …

Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation

Y Ye, Z Luo, Z Qiu, K Cao, B Huang, L Deng, W Zhang… - Bioengineering, 2023 - mdpi.com
Conventional radiomics analysis requires the manual segmentation of lesions, which is time-
consuming and subjective. This study aimed to assess the feasibility of predicting muscle …

ProLesA-Net: A multi-channel 3D architecture for prostate MRI lesion segmentation with multi-scale channel and spatial attentions

DI Zaridis, E Mylona, N Tsiknakis, NS Tachos… - Patterns, 2024 - cell.com
Prostate cancer diagnosis and treatment relies on precise MRI lesion segmentation, a
challenge notably for small (< 15 mm) and intermediate (15–30 mm) lesions. Our study …