Superpixel-based deep convolutional neural networks and active contour model for automatic prostate segmentation on 3D MRI scans

GLF da Silva, PS Diniz, JL Ferreira, JVF Franca… - Medical & Biological …, 2020 - Springer
Automatic and reliable prostate segmentation is an essential prerequisite for assisting the
diagnosis and treatment, such as guiding biopsy procedure and radiation therapy …

Sparse deep belief network coupled with extended local fuzzy active contour model-based liver cancer segmentation from abdomen CT images

AJ Dickson, JA Linsely, VAA Daniel, K Rahul - Medical & Biological …, 2024 - Springer
Liver cancer from abdominal CT images must be accurately segmented for the purpose of
diagnosis with treatment planning. But, the similarity in gray values between the liver and the …

Zebrafish larvae heartbeat detection from body deformation in low resolution and low frequency video

Q Xing, V Huynh, TG Parolari… - Medical & Biological …, 2018 - Springer
Zebrafish (Danio rerio) is a powerful animal model used in many areas of genetics and
disease research. Despite its advantages for cardiac research, the heartbeat pattern of …

Advanced Approaches to Diagnose and Treat the Chronic Autoimmune Disorders: Multimodal Molecular Imaging

T Sołtysiński - Medical Imaging: Concepts, Methodologies, Tools …, 2017 - igi-global.com
Pathology and dynamics of particular cells and the molecular components of immune
system is still challenging to be traced within living organisms. The techniques of molecular …

Data-Driven Biomedical Analysis, Modelling and Validation

Q Xing - 2019 - search.proquest.com
Modern medical imaging techniques including Computed Tomography (CT), Magnetic
Resonance Imaging (MRI), Ultrasound (US) and Microscope Imaging provide numerous …