Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Kumar, Alabhya"'
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:1549-1563
Liver cancer is one of the most common types of cancers in Asia with a high mortality rate. A common method for liver cancer diagnosis is the manual examination of histopathology images. Due to its laborious nature, we focus on alternate deep learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e6e75abf08a08067d8fd7061adf3b4e
https://doi.org/10.1007/s11548-021-02410-4
https://doi.org/10.1007/s11548-021-02410-4
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789811612947
Automatic detection and segmentation of histopathology images to diagnose and treatment of cancer disease are the demand of today’s time. A deep learning framework is very effective to do this task as much related research has revealed their outcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cebaf1a086f494bc45ced7f4ce9a4aa
https://doi.org/10.1007/978-981-16-1295-4_39
https://doi.org/10.1007/978-981-16-1295-4_39
Publikováno v:
International journal of computer assisted radiology and surgery. 16(9)
Liver cancer is one of the most common types of cancers in Asia with a high mortality rate. A common method for liver cancer diagnosis is the manual examination of histopathology images. Due to its laborious nature, we focus on alternate deep learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b9f14680f8e7c2076bbbabce458db04f
https://pubmed.ncbi.nlm.nih.gov/34053009
https://pubmed.ncbi.nlm.nih.gov/34053009
Publikováno v:
Computers in biology and medicine. 128
The nuclei segmentation of hematoxylin and eosin (H&E) stained histopathology images is an important prerequisite in designing a computer-aided diagnostics (CAD) system for cancer diagnosis and prognosis. Automated nuclei segmentation methods enable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb21bc7cb12bf9c162945c9e2f107400
https://pubmed.ncbi.nlm.nih.gov/33190012
https://pubmed.ncbi.nlm.nih.gov/33190012
Autor:
Maneesh M, Anirudh Kanfade, Aman Kumar, Gokul Perayil, Shyam Lal, Kumar Alabhya, Amit Kumar Chanchal, Jyoti R. Kini, Russel Desouza
Publikováno v:
2020 7th International Conference on Signal Processing and Integrated Networks (SPIN).
Segmentation of histopathology images is an initial and vital step for image understanding. To increase the throughput and to maintain high accuracy, we have to go for an automatic image segmentation method. Here, a robust method for segmentation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14763b03db1f37bc897e41363339b2f5
https://doi.org/10.1109/spin48934.2020.9070874
https://doi.org/10.1109/spin48934.2020.9070874