Abhishek Midya

Orcid: 0000-0003-2149-7098

According to our database1, Abhishek Midya authored at least 19 papers between 2013 and 2023.

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

2023
Computerized Diagnosis of Liver Tumors From CT Scans Using a Deep Neural Network Approach.
IEEE J. Biomed. Health Informatics, May, 2023

2021
Enhancement of Hazy Images Using Atmospheric Light Estimation Technique.
J. Circuits Syst. Comput., 2021

2020
Multi-Resolution Analysis of Edge-Texture Features for Mammographic Mass Classification.
J. Circuits Syst. Comput., 2020

2019
Dynamic background modeling using intensity and orientation distribution of video sequence.
Multim. Tools Appl., 2019

2018
Neighborhood Structural Similarity Mapping for the Classification of Masses in Mammograms.
IEEE J. Biomed. Health Informatics, 2018

Computer-aided detection and diagnosis of mammographic masses using multi-resolution analysis of oriented tissue patterns.
Expert Syst. Appl., 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

Deep convolutional neural network for the classification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Quantitative CT analysis for the preoperative prediction of pathologic grade in pancreatic neuroendocrine tumors.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
Moving object detection using modified temporal differencing and local fuzzy thresholding.
J. Supercomput., 2017

Video error concealment through 3-D face model.
Multim. Tools Appl., 2017

Analysis of 2D singularities for mammographic mass classification.
IET Comput. Vis., 2017

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

2015
Switchable video error concealment using encoder driven scene transition detection and edge preserving SEC.
Multim. Tools Appl., 2015

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

Classification of benign and malignant masses in mammograms using multi-resolution analysis of oriented patterns.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Scene content driven FEC allocation for video streaming.
Signal Process. Image Commun., 2014

2013
3-D model assisted facial error concealment technique using regenerative particle filter based tracking.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

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


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