Gopakumar G
Gopakumar G
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Convolutional neural network‐based malaria diagnosis from focus stack of blood smear images acquired using custom‐built slide scanner
GP Gopakumar, M Swetha, G Sai Siva, GRK Sai Subrahmanyam
Journal of biophotonics 11 (3), e201700003, 2018
Cytopathological image analysis using deep-learning networks in microfluidic microscopy
G Gopakumar, KH Babu, D Mishra, SS Gorthi, GRKS Subrahmanyam
JOSA A 34 (1), 111-121, 2017
Microfluidic microscopy-assisted label-free approach for cancer screening: automated microfluidic cytology for cancer screening
VK Jagannadh, G Gopakumar, GRKS Subrahmanyam, SS Gorthi
Medical & biological engineering & computing 55 (5), 711-718, 2017
Framework for morphometric classification of cells in imaging flow cytometry
G Gopakumar, VK Jagannadh, SS Gorthi, GRKSAI SUBRAHMANYAM
Journal of microscopy 261 (3), 307-319, 2016
Automatic detection of Malaria infected RBCs from a focus stack of bright field microscope slide images
G Gopakumar, M Swetha, GS Siva, GRKS Subrahmanyam
Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and …, 2016
Morphology based classification of leukemia cell lines: K562 and MOLT in a microfluidics based imaging flow cytometer
G Gopakumar, GRKS Subrahmanyam, GS Siva
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
An Improved Random Forest Algorithm for classification in an imbalanced dataset
GG Christy Jose
2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), 1-4, 2019
Deep Learning Applications to Cytopathology: A Study on the Detection of Malaria and on the Classification of Leukaemia Cell-Lines
G Gopakumar, GRKS Subrahmanyam
Handbook of Deep Learning Applications, 219-257, 2019
Improved Transfer Learning through Shallow Network Embedding for Classification of Leukemia Cells
KS Kalmady, AS Kamath, G Gopakumar, GRKS Subrahmanyam, ...
2017 Ninth International Conference on Advances in Pattern Recognition …, 2017
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