[HTML][HTML] MicroSegNet: A deep learning approach for prostate segmentation on micro-ultrasound images
Abstract Micro-ultrasound (micro-US) is a novel 29-MHz ultrasound technique that provides
3-4 times higher resolution than traditional ultrasound, potentially enabling low-cost …
3-4 times higher resolution than traditional ultrasound, potentially enabling low-cost …
A Review of Image Processing Methods in Prostate Ultrasound
Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …
crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) …
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
Prostate cancer represents a major threat to health. Early detection is vital in reducing the
mortality rate among prostate cancer patients. One approach involves using multi-modality …
mortality rate among prostate cancer patients. One approach involves using multi-modality …
An Enhanced Optimization of Machine Learning Model in Prostate Cancer Detection
H Yennapusa, R Ramakrishnan… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
the present study goals to optimize the overall performance and accuracy of a device-
mastering model for prostate most cancers detection. Prostate most cancers is a malignancy …
mastering model for prostate most cancers detection. Prostate most cancers is a malignancy …
Hybrid Intelligent-Annotation Organ Segmentation on Medical Datasets
T Peng, J Zhao, Y Gu, G Di, L Zhang… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Ultrasound image segmentation is crucial for early disease detection and treatment planning
but remains a challenging task due to the low contrast of organ boundaries and varying …
but remains a challenging task due to the low contrast of organ boundaries and varying …