MaPathologyProbeClassification

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Automatic Detection of Probe Count and Size in Digital Pathology

Supervision: Dr. Christoph Hennersperger, Prof. Dr. Nassir Navab Student:

Abstract

In recent time, an increasing trend towards an automatic sample preparation process can be observed in histopathology. In conjunction with Ithe Startup Inveox, laboratory automation enhances efficiency, increases process safety and eliminates potential errors. Tracking and processing of incoming probes is currently still done manual - and this is where the Inveox technology provides a fundamental step forward.

The goal of this project is to develop a solution for an automatic detection of the size and number of tissue probes within the automatic processing system of Inveox. This includes the selection of appropriate hardware and its arrangement within the automation system. On this foundation, a method to automatically analyze the size (area) and number of samples should be developed.

Covered areas: - Algorithmic development for probe classification - General image analysis - Computer vision / machine learning - Process control engineering


ProjectForm
Title: Automatic Detection of Probe Count and Size in Digital Pathology
Abstract: In recent time, an increasing trend towards an automatic sample preparation process can be observed in histopathology. In conjunction with Ithe Startup Inveox, laboratory automation enhances efficiency, increases process safety and eliminates potential errors. Tracking and processing of incoming probes is currently still done manual - and this is where the Inveox technology provides a fundamentatl step forward. The goal of this project is to develop a solution for an automatic detection of the size and number of tissue probes within the automatic processing system of Inveox. This includes the selection of appropriate hardware and its arrangement within the automation system. On this foundation, a method to automatically analyze the size (area) and number of samples should be developed.
Student:  
Director: Prof. Dr. Nassir Navab
Supervisor: Dr. Christoph Hennersperger
Type: DA/MA/BA
Area: Industrial Tracking
Status: open
Start:  
Finish:  
Thesis (optional):  
Picture:  


Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 03 Jul 2017 - 05:30 - ChristophHennersperger