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Dr. Shallu Sharma
Dr. Shallu Sharma
Assistant Professor at Bennett University, Greater Noida
Verified email at bennett.edu.in - Homepage
Title
Cited by
Cited by
Year
Breast cancer histology images classification: Training from scratch or transfer learning?
S Sharma, R Mehra
ICT Express 4 (4), 247-254, 2018
2482018
Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—A Comparative Insight
S Sharma, R Mehra
Journal of Digital Imaging, 1-23, 2020
1932020
The Xception model: A potential feature extractor in breast cancer histology images classification
S Sharma, S Kumar
ICT Express 8 (1), 101-108, 2022
672022
Effect of layer-wise fine-tuning in magnification-dependent classification of breast cancer histopathological image
S Sharma, R Mehra
The Visual Computer, 1-15, 2019
472019
A Comprehensive Report on Machine Learning-based Early Detection of Alzheimer's Disease using Multi-modal Neuroimaging Data
S Sharma, PK Mandal
ACM Computing Surveys (CSUR) 55 (2), 1-44, 2022
402022
Implications of pooling strategies in convolutional neural networks: A deep insight
S Sharma, R Mehra
Foundations of Computing and Decision Sciences 44 (3), 303-330, 2019
402019
Optimised CNN in conjunction with efficient pooling strategy for the multi‐classification of breast cancer
S Sharma, R Mehra, S Kumar
IET Image Processing, 2021
282021
Detection and Analysis of Lung Cancer Using Radiomic Approach
S Sharma, P Nanglia, S Kumar, AK Luhach
Smart Computational Strategies: Theoretical and Practical Aspects, 13-24, 2019
242019
Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks
S Kumar, S Sharma
Evolutionary Intelligence, 1-13, 2021
232021
Automatic Magnification Independent Classification of Breast Cancer Tissue in Histological Images Using Deep Convolutional Neural Network
S Sharma, R Mehra
Advanced Informatics for Computing Research, Communications in Computer and …, 2018
222018
Assessment of fine particulate matter for port city of eastern peninsular india using gradient boosting machine learning model
M Sharma, N Kumar, S Sharma, V Jangra, S Mehandia, S Kumar, ...
Atmosphere 13 (5), 743, 2022
72022
Invasive ductal carcinoma grade classification in histopathological images using transfer learning approach
E Kumaraswamy, S Sharma, S Kumar
2021 IEEE Bombay Section Signature Conference (IBSSC), 1-6, 2021
72021
A comparative analysis for Haar wavelet efficiency to remove Gaussian and Speckle noise from image
Shallu, Y Narayan, P Nanglia
Computing for Sustainable Global Development (INDIACom), 2016 3rd …, 2016
6*2016
A review on cancer detection strategies with help of biomedical images using machine learning techniques
E Kumaraswamy, S Sharma, S Kumar
AIP Conference Proceedings 2418 (1), 2022
52022
A hybrid deep model with concatenating framework of convolutional neural networks for identification of autism spectrum disorder
S Kumar, S Sharma
Enabling Technology for Neurodevelopmental Disorders, 230-239, 2022
42022
Brain Stress Mapping in COVID-19 Survivors Using MR Spectroscopy: new avenue of mental health status monitoring
A Samkaria, K Punjabi, S Sharma, S Joon, K Sandal, T Dasgupta, ...
Journal of Alzheimer's Disease 83 (2), 523-530, 2021
42021
ASIC design of IIR butterworth digital filter for electrocardiogram
RS Chauhan, R Mehra, S Sharma
2017 8th International Conference on Computing, Communication and Networking …, 2017
32017
Reconfigurable band pass filter using Kaiser window for satellite communication
V Kumar, R Mehra, Shallu
Next Generation Computing Technologies (NGCT), 2016 2nd International …, 2016
32016
Comprehensive Account of Sodium Imaging and Spectroscopy for Brain Research
P Handa, A Samkaria, S Sharma, Y Arora, PK Mandal
ACS Chemical Neuroscience, 2022
22022
An ensemble of deep CNNs for automatic grading of breast cancer in digital pathology images
S Sharma, S Kumar, M Sharma, A Kalkal
Neural Computing and Applications, 1-21, 2024
12024
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