83 citations · 136 across the 4 of their papers we have counts for
8 papers · 1 filter
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +1
In the last few years, Deep Learning (DL) has been showing superior performance in different modalities of biomedical image analysis. Several DL architectures have been proposed fo…
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Md Zahangir Alom, Theus Aspiras, Tarek M. Taha +4
Deep Learning (DL) approaches have been providing state-of-the-art performance in different modalities in the field of medical imagining including Digital Pathology Image Analysis…
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…
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…