PCaAnalyser: A 2d-Image Analysis Based Module for Effective Determination of Prostate Cancer Progression in 3D Culture

PLoS ONE - United States
doi 10.1371/journal.pone.0079865
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Public Library of Science (PLoS)

Related search

Molecular Model for Neuroendocrine Prostate Cancer Progression

BJU International
Urology
2018English

Towards 3D Ultrasound Image Based Soft Tissue Tracking: A Transrectal Ultrasound Prostate Image Alignment System

English

AIFD Based 2D Image Registration to Multi-View Stereo Mapped 3D Models

Neural Processing Letters
Computer NetworksSoftwareNeuroscienceArtificial IntelligenceCommunications
2018English

Supporting a Role for the GTPase Rab7 in Prostate Cancer Progression

PLoS ONE
Multidisciplinary
2014English

3d/2d Model-To-Image Registration for Quantitative Dietary Assessment

2012English

Molecular Profiling of Prostate Cancer Progression

Nature Genetics
Genetics
2001English

Molecular Mechanisms of Prostate Cancer Progression

2005English

Quantitative Analysis of Castration Resistant Prostate Cancer Progression Through Phosphoproteome Signaling

BMC Cancer
Cancer ResearchOncologyGenetics
2014English

Aneuploidy Drives Lethal Progression in Prostate Cancer

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy