445 citations · 1.1k across the 12 of their papers we have counts for
7 papers · 1 filter
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1
The Deep Convolutional Neural Network (DCNN) is one of the most powerful and successful deep learning approaches. DCNNs have already provided superior performance in different moda…
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches
Md Zahangir Alom, Chris Yakopcic, Tarek M. Taha +1
Due to cellular heterogeneity, cell nuclei classification, segmentation, and detection from pathological images are challenging tasks. In the last few years, Deep Convolutional Neu…
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN)
M M Shaifur Rahman, Mst Shamima Nasrin, Moin Mostakim +1
In the last few years, the deep learning technique in particular Convolutional Neural Networks (CNNs) is using massively in the field of computer vision and machine learning. This…
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md Zahangir Alom, Tarek M. Taha, Christopher Yakopcic +6
Deep learning has demonstrated tremendous success in variety of application domains in the past few years. This new field of machine learning has been growing rapidly and applied i…
Effective Quantization Approaches for Recurrent Neural Networks
Md Zahangir Alom, Adam T Moody, Naoya Maruyama +2
Deep learning, and in particular Recurrent Neural Networks (RNN) have shown superior accuracy in a large variety of tasks including machine translation, language understanding, and…
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
Md Zahangir Alom, Theodore Josue, Md Nayim Rahman +3
In the last decade, special purpose computing systems, such as Neuromorphic computing, have become very popular in the field of computer vision and machine learning for classificat…