Takip et
Dr. Shallu Sharma
Dr. Shallu Sharma
Assistant Professor at Bennett University, Greater Noida
bennett.edu.in üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Breast cancer histology images classification: Training from scratch or transfer learning?
S Sharma, R Mehra
ICT Express 4 (4), 247-254, 2018
2772018
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
2392020
The Xception model: A potential feature extractor in breast cancer histology images classification
S Sharma, S Kumar
ICT Express 8 (1), 101-108, 2022
992022
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
562022
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
562019
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
472019
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
332021
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
262021
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
252018
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
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
232022
Glutathione Depletion and Concomitant Elevation of Susceptibility in Patients with Parkinson’s Disease: State-of-the-Art MR Spectroscopy and Neuropsychological Study
D Shukla, A Goel, PK Mandal, S Joon, K Punjabi, Y Arora, R Kumar, ...
ACS Chemical Neuroscience 14 (24), 4383-4394, 2023
132023
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
122021
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
82022
Retrospective Study of Convolutional Neural Network for Medical Image Analysis and a Deep Insight Through Histopathological Dataset
S Sharma, E Kumaraswamy, S Kumar
Computational Intelligence: Select Proceedings of InCITe 2022, 47-58, 2023
62023
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
62022
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
Medicinal plants recognition using heterogeneous leaf features: an intelligent approach
M Sharma, N Kumar, S Sharma, S Kumar, S Singh, S Mehandia
Multimedia Tools and Applications 83 (17), 51513-51540, 2024
42024
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 36 (11), 5673-5693, 2024
42024
SWADESH: a multimodal multi-disease brain imaging and neuropsychological database and data analytics platform
PK Mandal, K Jindal, S Roy, Y Arora, S Sharma, S Joon, A Goel, ...
Frontiers in Neurology 14, 1258116, 2023
42023
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