Zobrazeno 1 - 6
of 6
pro vyhledávání: '"U K Arvind Rao"'
Publikováno v:
IEEE transactions on bio-medical engineering. 67(4)
Objective: The diversity of tissue structure in histopathological images makes feature extraction for classification a challenging task. Dictionary learning within a sparse representation-based classification (SRC) framework has been shown to be succ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::988f0e1ef310b439dc78c8cba465154d
https://pubmed.ncbi.nlm.nih.gov/31329103
https://pubmed.ncbi.nlm.nih.gov/31329103
Publikováno v:
ISBI
Automated histopathological image analysis offers exciting opportunities for the early diagnosis of several medical conditions including cancer. There are however stiff practical challenges: 1.) discriminative features from such images for separating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96ad606cf8111b1c8b1d600c0c846452
https://doi.org/10.1109/isbi.2018.8363555
https://doi.org/10.1109/isbi.2018.8363555
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structure. In this paper, we propose an auto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::510a8d8b2a4de6678bb08391c2ae8545
http://arxiv.org/abs/1502.01032
http://arxiv.org/abs/1502.01032
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as presence of rich geometrical structures. In this paper, we propose an aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d684b00e29fbe44466d2ca8e8b016b7
Autor:
Amarnag Subramanya, U K Arvind Rao
Publikováno v:
ICASSP
In this paper we present a scheme for real time implementation of a Hidden Markov Model based Signature Verification System on a TMS320C54 processor. Here we explain in detail our overall methodology and the subsequent DSP implementation. We also pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80e495842d485465472ea9b9b443599e
https://doi.org/10.1109/icassp.2002.5745681
https://doi.org/10.1109/icassp.2002.5745681