Segmentation of biomedical images based on a computational topology framework
The homology groups of a topological space provide us with information about its connectivity and the number and type of holes in it. This type of information can find practical applications in describing the intrinsic structure of an image, as well as in identifying equivalence classes in collectio...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
2 December 2020
|
| In: |
Seminars in immunology
Year: 2020, Volume: 48, Pages: 1-7 |
| ISSN: | 1096-3618 |
| DOI: | 10.1016/j.smim.2020.101432 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.smim.2020.101432 Verlag, lizenzpflichtig, Volltext: http://www.sciencedirect.com/science/article/pii/S1044532320300488 
|
| Author Notes: | Rodrigo Rojas Moraleda, Wei Xiong, Nektarios A. Valous, Niels Halama |
MARC
| LEADER | 00000caa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1746732369 | ||
| 003 | DE-627 | ||
| 005 | 20220819093130.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210202s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.smim.2020.101432 |2 doi | |
| 035 | |a (DE-627)1746732369 | ||
| 035 | |a (DE-599)KXP1746732369 | ||
| 035 | |a (OCoLC)1341390037 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Rojas-Moraleda, Rodrigo |e VerfasserIn |0 (DE-588)1137632224 |0 (DE-627)894989774 |0 (DE-576)491668759 |4 aut | |
| 245 | 1 | 0 | |a Segmentation of biomedical images based on a computational topology framework |c Rodrigo Rojas Moraleda, Wei Xiong, Nektarios A. Valous, Niels Halama |
| 264 | 1 | |c 2 December 2020 | |
| 300 | |a 7 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 02.02.2021 | ||
| 520 | |a The homology groups of a topological space provide us with information about its connectivity and the number and type of holes in it. This type of information can find practical applications in describing the intrinsic structure of an image, as well as in identifying equivalence classes in collections of images. When computing homological characteristics, the existence and strength of the relationships between each pair of points in the topological space are studied. The practical use of this approach begins by building a topological space from the image, in which the computation of the homology groups can be carried out in a feasible time. Once the homological properties are obtained, what follows is the task of translating such information into operations such as image segmentation. This work presents a technique for denoising persistent diagrams and reconstructing the shape of segmented objects using the remaining classes on the diagram. A case study for the segmentation of cell nuclei in histological images is used for demonstration purposes. With this approach: a) topological denoising is achieved by aggregating trivial classes on the persistence diagram, and b) a growing seed algorithm uses the information obtained during the construction of the persistence diagram for the reconstruction of the segmented cell structures. | ||
| 650 | 4 | |a Computational topology | |
| 650 | 4 | |a Image analysis | |
| 650 | 4 | |a Natural patterns in data | |
| 650 | 4 | |a Topological data analysis | |
| 700 | 1 | |a Xiong, Wei |e VerfasserIn |0 (DE-588)1137632615 |0 (DE-627)894990659 |0 (DE-576)49166981X |4 aut | |
| 700 | 1 | |a Valous, Nektarios A. |e VerfasserIn |0 (DE-588)113763295X |0 (DE-627)894991590 |0 (DE-576)491670508 |4 aut | |
| 700 | 1 | |a Halama, Niels |d 1977- |e VerfasserIn |0 (DE-588)13087325X |0 (DE-627)507228723 |0 (DE-576)251045706 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Seminars in immunology |d London : Academic Press, 1993 |g 48(2020,1) Artikel-Nummer 101432, 7 Seiten |h Online-Ressource |w (DE-627)268128626 |w (DE-600)1471753-0 |w (DE-576)264423534 |x 1096-3618 |7 nnas |a Segmentation of biomedical images based on a computational topology framework |
| 773 | 1 | 8 | |g volume:48 |g year:2020 |g pages:1-7 |g extent:7 |a Segmentation of biomedical images based on a computational topology framework |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.smim.2020.101432 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 0 | |u http://www.sciencedirect.com/science/article/pii/S1044532320300488 |x Verlag |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| 992 | |a 20210202 | ||
| 993 | |a Article | ||
| 994 | |a 2020 | ||
| 998 | |g 13087325X |a Halama, Niels |m 13087325X:Halama, Niels |d 910000 |d 910100 |d 50000 |e 910000PH13087325X |e 910100PH13087325X |e 50000PH13087325X |k 0/910000/ |k 1/910000/910100/ |k 0/50000/ |p 4 |y j | ||
| 998 | |g 113763295X |a Valous, Nektarios A. |m 113763295X:Valous, Nektarios A. |p 3 | ||
| 998 | |g 1137632615 |a Xiong, Wei |m 1137632615:Xiong, Wei |d 130000 |d 130300 |e 130000PX1137632615 |e 130300PX1137632615 |k 0/130000/ |k 1/130000/130300/ |p 2 | ||
| 998 | |g 1137632224 |a Rojas-Moraleda, Rodrigo |m 1137632224:Rojas-Moraleda, Rodrigo |p 1 |x j | ||
| 999 | |a KXP-PPN1746732369 |e 3847729853 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"name":{"displayForm":["Rodrigo Rojas Moraleda, Wei Xiong, Nektarios A. Valous, Niels Halama"]},"origin":[{"dateIssuedKey":"2020","dateIssuedDisp":"2 December 2020"}],"recId":"1746732369","id":{"eki":["1746732369"],"doi":["10.1016/j.smim.2020.101432"]},"type":{"media":"Online-Ressource","bibl":"article-journal"},"person":[{"display":"Rojas-Moraleda, Rodrigo","role":"aut","family":"Rojas-Moraleda","given":"Rodrigo"},{"family":"Xiong","role":"aut","display":"Xiong, Wei","given":"Wei"},{"given":"Nektarios A.","family":"Valous","role":"aut","display":"Valous, Nektarios A."},{"display":"Halama, Niels","family":"Halama","role":"aut","given":"Niels"}],"note":["Gesehen am 02.02.2021"],"language":["eng"],"physDesc":[{"extent":"7 S."}],"title":[{"title_sort":"Segmentation of biomedical images based on a computational topology framework","title":"Segmentation of biomedical images based on a computational topology framework"}],"relHost":[{"language":["eng"],"pubHistory":["Nachgewiesen 5.1993 -"],"note":["Gesehen am 14.02.20"],"origin":[{"dateIssuedKey":"1993","publisherPlace":"London","dateIssuedDisp":"1993-","publisher":"Academic Press"}],"disp":"Segmentation of biomedical images based on a computational topology frameworkSeminars in immunology","type":{"bibl":"periodical","media":"Online-Ressource"},"recId":"268128626","id":{"zdb":["1471753-0"],"eki":["268128626"],"issn":["1096-3618"]},"title":[{"title_sort":"Seminars in immunology","title":"Seminars in immunology"}],"physDesc":[{"extent":"Online-Ressource"}],"part":{"text":"48(2020,1) Artikel-Nummer 101432, 7 Seiten","pages":"1-7","year":"2020","volume":"48","extent":"7"}}]} | ||
| SRT | |a ROJASMORALSEGMENTATI2202 | ||