PMID- 34465711
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20210903
IS  - 2313-433X (Electronic)
IS  - 2313-433X (Linking)
VI  - 5
IP  - 1
DP  - 2019 Jan 17
TI  - Efficient FPGA Implementation of Automatic Nuclei Detection in Histopathology 
      Images.
LID - 10.3390/jimaging5010021 [doi]
LID - 21
AB  - Accurate and efficient detection of cell nuclei is an important step towards the 
      development of a pathology-based Computer Aided Diagnosis. Generally, 
      high-resolution histopathology images are very large, in the order of billion 
      pixels, therefore nuclei detection is a highly compute intensive task, and 
      software implementation requires a significant amount of processing time. To 
      assist the doctors in real time, special hardware accelerators, which can reduce 
      the processing time, are required. In this paper, we propose a Field Programmable 
      Gate Array (FPGA) implementation of automated nuclei detection algorithm using 
      generalized Laplacian of Gaussian filters. The experimental results show that the 
      implemented architecture has the potential to provide a significant improvement 
      in processing time without losing detection accuracy.
FAU - Zhou, Haonan
AU  - Zhou H
AD  - Department of Electrical and Computer Engineering, University of Alberta, 
      Edmonton, AB T6G 2R3, Canada.
FAU - Machupalli, Raju
AU  - Machupalli R
AD  - Department of Electrical and Computer Engineering, University of Alberta, 
      Edmonton, AB T6G 2R3, Canada.
FAU - Mandal, Mrinal
AU  - Mandal M
AD  - Department of Electrical and Computer Engineering, University of Alberta, 
      Edmonton, AB T6G 2R3, Canada.
LA  - eng
PT  - Journal Article
DEP - 20190117
PL  - Switzerland
TA  - J Imaging
JT  - Journal of imaging
JID - 101698819
PMC - PMC8320863
OTO - NOTNLM
OT  - FPGA implementation
OT  - generalized Laplacian of Gaussian filter
OT  - hardware architecture
OT  - histopathology
OT  - image processing
OT  - mean Shift clustering
OT  - nuclei detection
COIS- The authors declare no conflict of interest.
EDAT- 2019/01/17 00:00
MHDA- 2019/01/17 00:01
PMCR- 2019/01/17
CRDT- 2021/09/01 06:42
PHST- 2018/11/30 00:00 [received]
PHST- 2018/12/27 00:00 [revised]
PHST- 2019/01/11 00:00 [accepted]
PHST- 2021/09/01 06:42 [entrez]
PHST- 2019/01/17 00:00 [pubmed]
PHST- 2019/01/17 00:01 [medline]
PHST- 2019/01/17 00:00 [pmc-release]
AID - jimaging5010021 [pii]
AID - jimaging-05-00021 [pii]
AID - 10.3390/jimaging5010021 [doi]
PST - epublish
SO  - J Imaging. 2019 Jan 17;5(1):21. doi: 10.3390/jimaging5010021.