TY - GEN
T1 - Automatic Detection of Bacilli Bacteria from Ziehl-Neelsen Sputum Smear Images
AU - Shwetha, V.
AU - Prasad, Keerthana
AU - Mukhopadhyay, Chiranjoy
AU - Banerjee, Barnini
AU - Chakrabarti, Abir
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Manual bacilli detection from Zeihl-Neelsen (ZN) stain images is tedious results in error due to bacteria size and lack of trained experts. Bacilli detection is often a complex task due to their numbers and stain particles. Automatic detection models are the best solution to increase the accuracy of bacilli detection. In the proposed work bacilli detection model using Deep Convolution Neural Network (CNN) is proposed. Preprocessing and segmentation are also explored in the present study. A model such as VGG16, ResNet50, and SqueezeNet are explored. A comparison study is carried to analyze the performance metrics. A proposed model using SqueezeNet as a classifier gives an overall accuracy of 97%.
AB - Manual bacilli detection from Zeihl-Neelsen (ZN) stain images is tedious results in error due to bacteria size and lack of trained experts. Bacilli detection is often a complex task due to their numbers and stain particles. Automatic detection models are the best solution to increase the accuracy of bacilli detection. In the proposed work bacilli detection model using Deep Convolution Neural Network (CNN) is proposed. Preprocessing and segmentation are also explored in the present study. A model such as VGG16, ResNet50, and SqueezeNet are explored. A comparison study is carried to analyze the performance metrics. A proposed model using SqueezeNet as a classifier gives an overall accuracy of 97%.
UR - http://www.scopus.com/inward/record.url?scp=85125046299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125046299&partnerID=8YFLogxK
U2 - 10.1109/C2I454156.2021.9689283
DO - 10.1109/C2I454156.2021.9689283
M3 - Conference contribution
AN - SCOPUS:85125046299
T3 - Proceedings of the 2021 2nd International Conference on Communication, Computing and Industry 4.0, C2I4 2021
BT - Proceedings of the 2021 2nd International Conference on Communication, Computing and Industry 4.0, C2I4 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Communication, Computing and Industry 4.0, C2I4 2021
Y2 - 16 December 2021 through 17 December 2021
ER -