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05/05/2021
R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation
3D lung segmentation is essential since it processes the volumetric info...
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07/05/2020
GanglionNet: Objectively Assess the Density and Distribution of Ganglion Cells With NABLA-N Network
Hirschsprungs disease (HD) is a birth defect which is diagnosed and mana...
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04/07/2020
COVID_MTNet: COVID-19 Detection with Multi-Task Deep Learning Approaches
COVID-19 is currently one the most life-threatening problems around the ...
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04/25/2019
Skin Cancer Segmentation and Classification with NABLA-N and Inception Recurrent Residual Convolutional Networks
In the last few years, Deep Learning (DL) has been showing superior perf...
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04/19/2019
Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases
Deep Learning (DL) approaches have been providing state-of-the-art perfo...
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11/10/2018
Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network
The Deep Convolutional Neural Network (DCNN) is one of the most powerful...
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11/08/2018
Microscopic Nuclei Classification, Segmentation and Detection with improved Deep Convolutional Neural Network (DCNN) Approaches
Due to cellular heterogeneity, cell nuclei classification, segmentation,...
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09/04/2018
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN)
In the last few years, the deep learning technique in particular Convolu...
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03/03/2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Deep learning has demonstrated tremendous success in variety of applicat...
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02/20/2018
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image Segmentation
Deep learning (DL) based semantic segmentation methods have been providi...
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02/07/2018
Effective Quantization Approaches for Recurrent Neural Networks
Deep learning, and in particular Recurrent Neural Networks (RNN) have sh...
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02/07/2018
Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System
In the last decade, special purpose computing systems, such as Neuromorp...
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12/28/2017
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Machine learning and computer vision have driven many of the greatest ad...
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12/28/2017
Handwritten Bangla Character Recognition Using The State-of-Art Deep Convolutional Neural Networks
In spite of advances in object recognition technology, Handwritten Bangl...
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05/07/2017
