S
Subrato Bharati
Researcher at Bangladesh University of Engineering and Technology
Publications - 68
Citations - 996
Subrato Bharati is an academic researcher from Bangladesh University of Engineering and Technology. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 10, co-authored 52 publications receiving 342 citations.
Papers
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Journal ArticleDOI
Hybrid deep learning for detecting lung diseases from X-ray images
TL;DR: In this article, the authors proposed a new hybrid deep learning framework by combining VGG, data augmentation and spatial transformer network (STN) with CNN, which is termed as VGG Data STN with CNN (VDSNet).
Journal ArticleDOI
Data analytics for novel coronavirus disease
TL;DR: Different aspects of novel coronavirus disease (COVID-19) are described, visualization of the spread of the infection is presented, and the potential applications of data analytics on this viral infection are discussed.
Journal ArticleDOI
Diagnosis of Breast Cancer Based on Modern Mammography using Hybrid Transfer Learning
Aditya Khamparia,Subrato Bharati,Prajoy Podder,Deepak Gupta,Ashish Khanna,Thai Kim Phung,Dang N. H. Thanh +6 more
TL;DR: The proposed hybrid pre-trained network outperforms other compared Convolutional Neural Networks and can be considered as an effective tool for radiologists to decrease the false negative and false positive rates of mammograms.
Proceedings ArticleDOI
Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Algorithms
TL;DR: This paper focuses on the data-driven diagnosis of polycystic ovary syndrome (PCOS) in women and finds that RFLR is suitable for reliably classifying PCOS patients.
Proceedings ArticleDOI
Breast Cancer Prediction Applying Different Classification Algorithm with Comparative Analysis using WEKA
TL;DR: The capability of the classification of Naïve Bayes, Random Forest, Logistic Regression, Multilayer Perceptron, K-nearest neighbors in evaluating the Breast Cancer Disease dataset culled from UCI machine learning repository, was observed to predict the existence of Breast cancer.