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04/24/2020
A Two-Stage Multiple Instance Learning Framework for the Detection of Breast Cancer in Mammograms
Mammograms are commonly employed in the large scale screening of breast ...
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04/24/2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening
Chest radiographs are primarily employed for the screening of cardio, th...
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04/24/2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
Chest radiographs are primarily employed for the screening of pulmonary ...
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08/03/2019
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance Imaging
Ischaemic stroke is a medical condition caused by occlusion of blood sup...
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05/17/2018
Fully Convolutional Model for Variable Bit Length and Lossy High Density Compression of Mammograms
Early works on medical image compression date to the 1980's with the imp...
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04/30/2015
Application of S-Transform on Hyper kurtosis based Modified Duo Histogram Equalized DIC images for Pre-cancer Detection
Our proposed hyper kurtosis based histogram equalized DIC images enhance...
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04/07/2015
A comparative study between proposed Hyper Kurtosis based Modified Duo-Histogram Equalization (HKMDHE) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for Contrast
In this paper, a comparative study between proposed hyper kurtosis based...
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03/21/2015
Wavelet based approach for tissue fractal parameter measurement: Pre cancer detection
In this paper, we have carried out the detail studies of pre-cancer by w...
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03/12/2015