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Dr. Shyam Lal
Dr. Shyam Lal
Associate Professor, National Institute of Technology Karnataka, Surathkal India
Verified email at nitk.edu.in - Homepage
Title
Cited by
Cited by
Year
An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions
S Suresh, S Lal
Expert Systems with Applications 58, 184-209, 2016
1762016
A Study about Color Normalization Methods for Histopathology Images
S Roy, A kumar Jain, S Lal, J Kini
Micron, 2018
1352018
Multilevel Thresholding based on Chaotic Darwinian Particle Swarm Optimization for Segmentation of Satellite Images
S Suresh, S Lal
Applied shoft Computing,, 2017
982017
Efficient algorithm for contrast enhancement of natural images.
S Lal, M Chandra
Int. Arab J. Inf. Technol. 11 (1), 95-102, 2014
902014
NucleiSegNet: Robust Deep Learning Architecture for the Nuclei Segmentation of Liver Cancer Histopathology Images
S Lal, D Das, K Alabhya, A Kanfade, A Kumar, J Kini
Computers in Biology and Medicine 128 (2021), 104075, 2021
832021
Modified Differential Evolution Algorithm for Contrast and Brightness Enhancement of Satellite Images
S Suresh, S Lal
Applied Shoft Computing, https://doi.org/10.1016/j.asoc.2017.08.0, 2017
662017
A Novel Adaptive Cuckoo Search Algorithm for Contrast Enhancement of Satellite Images
S Suresh, S Lal, CS Reddy, MS Kiran
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE …, 2017
602017
Coverage analysis of handoff algorithm with adaptive hysteresis margin
S Lal, DK Panwar
10th International Conference on Information Technology (ICIT 2007), 133-138, 2007
542007
Multi-Modal Medical Image Fusion With Adaptive Weighted Combination of NSST Bands Using Chaotic Grey Wolf Optimization
CS Asha, S Lal, VP Gurupur, PUP Saxena
IEEE Access 7, 40782-40796, 2019
502019
Multispectral Satellite Image Denoising via Adaptive Cuckoo Search-Based Wiener Filter
S Suresh, S Lal, C Chen, T Celik
IEEE Transactions on Geoscience and Remote Sensing, 1-12, 2018
482018
LiverNet: Efficient and Robust Deep Learning Model for Automatic Diagnosis of Sub-types of Liver Hepatocellular Carcinoma Cancer from H&E Stained Liver Histopathology Images
A Aatresh, K Alabhya, S Lal, J Kini, PUP Saxena
International Journal of Computer Assisted Radiology and Surgery 2021, 2021
272021
Novel Color Normalization Method for Hematoxylin & Eosin Stained Histopathology Images
S Roy, S Lal, J Kini
IEEE Access 7, 28982-28998, 2019
262019
Two Dimensional CS Adaptive FIR Wiener Filtering Algorithm for the Denoising of Satellite Images
S Suresh, S Lal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017
252017
Efficient and robust deep learning architecture for segmentation of kidney and breast histopathology images
AK Chanchal, A Kumar, S Lal, J Kini
Computers & Electrical Engineering 92, 107177, 2021
212021
A study about evolutionary and non-evolutionary segmentation techniques on hand radiographs for bone age assessment
S Simu, S Lal
Biomedical Signal Processing and Control 33, 220-235, 2017
212017
Removal of additive Gaussian noise by complex double density dual tree discrete wavelet transform
S Lal, M Chandra, GK Upadhyay, D Gupta
MIT International Journal of Electronics and Communication Engineering 1 (1 …, 2011
212011
Automatic method for contrast enhancement of natural color images
S Lal, AV Narasimhadhan, R Kumar
Journal of Electrical Engineering & Technology 10 (3), 1233-1243, 2015
202015
CloudX-Net: A Robust Encoder-Decoder Architecture for Cloud Detection from Satellite Remote Sensing Images
S Kanu, R Khoja, S Lal, BS Raghavendra, CS Asha
Remote Sensing Applications: Society and Environment 20 (2020), 100417, 2020
182020
Efficient deep learning architecture with dimension-wise pyramid pooling for nuclei segmentation of histopathology images
AA Aatresh, RP Yatgiri, AK Chanchal, A Kumar, A Ravi, D Das, ...
Computerized Medical Imaging and Graphics 93, 101975, 2021
172021
Dense Refinement Residual Network for Road Extraction from Aerial Imagery Data
KK Eerapu, B Ashwath, S Lal, F Dell’acqua, AV Narasimhadhan
IEEE Access, https://doi.org/10.1109/ACCESS.2019.2928, 2019
17*2019
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