18578723. METHOD FOR ANALYZING DIGITAL IMAGES simplified abstract (HOFFMANN-LA ROCHE INC.)
Contents
- 1 METHOD FOR ANALYZING DIGITAL IMAGES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR ANALYZING DIGITAL IMAGES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Questions about the Technology
- 1.10 Original Abstract Submitted
METHOD FOR ANALYZING DIGITAL IMAGES
Organization Name
Inventor(s)
Maria Cristina De Vera Mudry of Basel (CH)
[[:Category:Citlalli G�mez Serna of Basel (CH)|Citlalli G�mez Serna of Basel (CH)]][[Category:Citlalli G�mez Serna of Basel (CH)]]
METHOD FOR ANALYZING DIGITAL IMAGES - A simplified explanation of the abstract
This abstract first appeared for US patent application 18578723 titled 'METHOD FOR ANALYZING DIGITAL IMAGES
Simplified Explanation
This patent application relates to systems and methods for detecting, segmenting, and characterizing objects in digital images, specifically focusing on crypts in histological images from patients with gastrointestinal disorders.
- Detection, segmentation, and characterization of isolated or overlapping object instances in digital images
- Specifically designed for detecting, segmenting, and characterizing crypts in histological images from patients with gastrointestinal disorders
- Utilizes advanced algorithms and image processing techniques to analyze and identify objects accurately
- Aims to improve the efficiency and accuracy of analyzing histological images for medical diagnosis and research purposes
- Can potentially aid in early detection and treatment of gastrointestinal disorders
Potential Applications
The technology can be applied in various fields such as:
- Medical imaging
- Pathology
- Biomedical research
- Drug development
Problems Solved
This technology addresses the following issues:
- Accurate detection and characterization of crypts in histological images
- Efficient segmentation of overlapping object instances in digital images
- Improved analysis of medical images for diagnosing gastrointestinal disorders
Benefits
The benefits of this technology include:
- Enhanced accuracy in detecting and characterizing objects in digital images
- Time-saving in analyzing histological images for medical purposes
- Potential for early diagnosis and treatment of gastrointestinal disorders
Commercial Applications
- Medical imaging software development
- Pathology laboratory equipment
- Research institutions focusing on gastrointestinal disorders
Questions about the Technology
What are the key features of this technology?
The key features include advanced algorithms for detection, segmentation, and characterization of objects in digital images, specifically focusing on crypts in histological images.
How can this technology benefit medical professionals and researchers?
This technology can benefit medical professionals and researchers by providing accurate and efficient analysis of histological images, leading to improved diagnosis and treatment of gastrointestinal disorders.
Original Abstract Submitted
Systems and methods disclosed herein relate generally to systems and methods for detection, segmentation and characterization of isolated or overlapping object instances in digital images, applicable for detection, segmentation and characterization of crypts in histological images from patients with gastrointestinal disorders.
