5 papers
Prediction of Malignant & Benign Breast Cancer: A Data Mining Approach in Healthcare Applications
Vivek Kumar, Brojo Kishore Mishra, Manuel Mazzara +2
As much as data science is playing a pivotal role everywhere, healthcare also finds it prominent application. Breast Cancer is the top rated type of cancer amongst women; which too…
Learning to Clean: A GAN Perspective
Monika Sharma, Abhishek Verma, Lovekesh Vig
In the big data era, the impetus to digitize the vast reservoirs of data trapped in unstructured scanned documents such as invoices, bank documents and courier receipts has gained…
Residual-CNDS for Grand Challenge Scene Dataset
Hussein A. Al-Barazanchi, Hussam Qassim, David Feinzimer +1
Increasing depth of convolutional neural networks (CNNs) is a highly promising method of increasing the accuracy of the (CNNs). Increased CNN depth will also result in increased la…
The Compressed Model of Residual CNDS
Hussam Qassim, David Feinzimer, Abhishek Verma
Convolutional neural networks have achieved a great success in the recent years. Although, the way to maximize the performance of the convolutional neural networks still in the beg…
Residual Squeeze VGG16
Hussam Qassim, David Feinzimer, Abhishek Verma
Deep learning has given way to a new era of machine learning, apart from computer vision. Convolutional neural networks have been implemented in image classification, segmentation…