Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sai Chandra Kosaraju"'
Publikováno v:
Methods (San Diego, Calif.). 179
Digitizing whole-slide imaging in digital pathology has led to the advancement of computer-aided tissue examination using machine learning techniques, especially convolutional neural networks. A number of convolutional neural network-based methodolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2eb09ba7901438463327077dc5a25a47
https://pubmed.ncbi.nlm.nih.gov/32442672
https://pubmed.ncbi.nlm.nih.gov/32442672
Publikováno v:
PSB
The integration of multi-modal data, such as histopathological images and genomic data, is essential for understanding cancer heterogeneity and complexity for personalized treatments, as well as for enhancing survival predictions in cancer study. His
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39373b582aa1077da827fd7285f33dde
https://doi.org/10.1142/9789811215636_0032
https://doi.org/10.1142/9789811215636_0032
Autor:
Mohammad Masum, Tasmia Aqila, Hyun Min Koh, Dae Hyun Song, Ananda Mohan Mondal, Mingon Kang, Nelson Zange Tsaku, Sai Chandra Kosaraju
Publikováno v:
BIBM
Automatic histopathological Whole Slide Image (WSI) analysis for cancer classification has been highlighted along with the advancements in microscopic imaging techniques, since manual examination and diagnosis with WSIs are time- and cost-consuming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50cc6544b28c9ebb89b89dc18f0b951c
https://doi.org/10.1109/bibm47256.2019.8983226
https://doi.org/10.1109/bibm47256.2019.8983226
Autor:
Sai Chandra Kosaraju, Mohammed Masum, Nelson Zange Tsaku, Mingon Kang, Pritesh Patel, Tanju Bayramoglu, Girish Modgil
Publikováno v:
ICDAR
Document Layout Analysis (DLA) is a segmentation process that decomposes a scanned document image into its blocks of interest and classifies them. DLA is essential in a large number of applications, such as Information Retrieval, Machine Translation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::307b50daa581a442547865488856d419
https://doi.org/10.1109/icdar.2019.00168
https://doi.org/10.1109/icdar.2019.00168
Publikováno v:
ACM Southeast Regional Conference
Nowadays, recommendation systems are widely deployed to suggest a variety of products and services for target users. Practical examples of recommendation systems that we daily encounter include social, educational, and political services such as acad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3874b47a4e782555cd4cb55d11343e5e
https://doi.org/10.1145/3299815.3314454
https://doi.org/10.1145/3299815.3314454
Autor:
Nelson Zange Tsaku, Mingon Kang, Pritesh Patel, Tanju Bayramoglu, Sai Chandra Kosaraju, Girish Modgil
Publikováno v:
ACM Southeast Regional Conference
The importance of automatic analysis of Optical Character Recognition (OCR) documents has been increasingly recognized to assist with efficient data managements and accessibility. However, most OCR documents are unstructured, making the analysis extr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0a972ea9ec6400ed97a8ca4948da374
https://doi.org/10.1145/3299815.3314455
https://doi.org/10.1145/3299815.3314455
Publikováno v:
RACS
Industries can improve their business efficiency by analyzing and extracting relevant knowledge from large numbers of documents. Knowledge extraction manually from large volume of documents is labor intensive, unscalable and challenging. Consequently
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6d726f66a1ce2daf76e66043987bbbd
https://doi.org/10.1145/3264746.3264793
https://doi.org/10.1145/3264746.3264793
Autor:
Bakhtiarnia, Arian1 (AUTHOR) arianbakh@ece.au.dk, Zhang, Qi1 (AUTHOR) qz@ece.au.dk, Iosifidis, Alexandros1 (AUTHOR) ai@ece.au.dk
Publikováno v:
ACM Computing Surveys. Jul2024, Vol. 56 Issue 7, p1-35. 35p.
In the evolving environment of bioinformatics, genomics, and computational biology, academic scholars are facing a challenging challenge – keeping informed about the latest research trends and findings. With unprecedented advancements in sequencing
Due to the diversity of contexts in which biological computation is performed, a major problem is the selection of functional-oriented techniques for the analysis of biological sequences in a huge environment. The performances of various sequences in