Anup K. Sadhu

According to our database1, Anup K. Sadhu authored at least 23 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Ventricle shape analysis using modified WKS for atrophy detection.
Medical Biol. Eng. Comput., 2021

Automated diagnosis of pulmonary emphysema using multi-objective binary thresholding and hybrid classification.
Biomed. Signal Process. Control., 2021

Adaptive Local Ternary Pattern on Parameter Optimized-Faster Region Convolutional Neural Network for Pulmonary Emphysema Diagnosis.
IEEE Access, 2021

2020
Modified distance regularized level set evolution for brain ventricles segmentation.
Vis. Comput. Ind. Biomed. Art, 2020

Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review.
J. Digit. Imaging, 2020

2019
A Screening CAD Tool for the Detection of Microcalcification Clusters in Mammograms.
J. Digit. Imaging, 2019

Mammogram segmentation using multi-atlas deformable registration.
Comput. Biol. Medicine, 2019

Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model.
Int. J. Comput. Assist. Radiol. Surg., 2019

2018
Segmentation of Lung Field in HRCT Images Using U-Net Based Fully Convolutional Networks.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Convolutional Neural Networks for Efficient Localization of Interstitial Lung Disease Patterns in HRCT Images.
Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Multi-resolution analysis using integrated microscopic configuration with local patterns for benign-malignant mass classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Computer-assisted delineation of cerebral infarct from diffusion-weighted MRI using Gaussian mixture model.
Int. J. Comput. Assist. Radiol. Surg., 2017

Automated detection of microcalcification clusters in mammograms.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

A Computer Vision Approach for Lung Cancer Classification Using FNAC-Based Cytological Images.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017

2016
Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest.
Appl. Soft Comput., 2016

Benign-malignant mass classification in mammogram using edge weighted local texture features.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Multimodal characterization of radiologically detectable lung lesions.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Automated in vivo delineation of lumen wall using intravascular ultrasound imaging.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Detection of the nipple in mammograms with Gabor filters and the Radon transform.
Biomed. Signal Process. Control., 2015

2014
Pixel-based Bayesian classification for meningioma brain tumor detection using post contrast T1-weighted magnetic resonance image.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

2013
A Heuristic Approach to Automated Nipple Detection in Digital Mammograms.
J. Digit. Imaging, 2013

Automatic localization of the nipple in mammograms using Gabor filters and the Radon transform.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013

Automatic characterization of masses in mammograms.
Proceedings of the 6th International Conference on Biomedical Engineering and Informatics, 2013


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