Minakshi Banerjee

发表

A Multi-class Image Classifier for Assisting in Tumor Detection of Brain Using Deep Convolutional Neural Network

Abhishek Bal, Minakshi Banerjee, Punit Sharma, 2019, ACSS.

Content-based image retrieval using visually significant point features

Malay Kumar Kundu, Minakshi Banerjee, Pradipta Maji, 2009, Fuzzy Sets Syst..

Tackling Curse of Dimensionality for Efficient Content Based Image Retrieval

Minakshi Banerjee, Seikh Mazharul Islam, 2015, PReMI.

Brain Tumor Segmentation on MR Image Using K-Means and Fuzzy-Possibilistic Clustering

Abhishek Bal, Minakshi Banerjee, Punit Sharma, 2018, 2018 2nd International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech).

Content-Based Image Retrieval Using Wavelet Packets and Fuzzy Spatial Relations

Malay Kumar Kundu, Minakshi Banerjee, 2006, ICVGIP.

Gray Matter Segmentation and Delineation from Positron Emission Tomography (PET) Image

Abhishek Bal, Minakshi Banerjee, Punit Sharma, 2020 .

Interactive Image Retrieval with Wavelet Features

Malay Kumar Kundu, Minakshi Banerjee, Manish Chowdhury, 2011, PReMI.

Corner detection using support vector machines

Malay Kumar Kundu, Minakshi Banerjee, Pabitra Mitra, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Evaluation of Effectiveness of Image Enhancement Techniques with Application to Retinal Fundus images

Minakshi Banerjee, Mahua Nandy Pal, M. Pal, 2020, 2020 4th International Conference on Computational Intelligence and Networks (CINE).

Edge based features for content based image retrieval

Malay Kumar Kundu, Minakshi Banerjee, M. Kundu, 2003, Pattern Recognit..

Image Retrieval Using Fuzzy Relevance Feedback and Validation with MPEG-7 Content Descriptors

Malay Kumar Kundu, Minakshi Banerjee, 2007, PReMI.

Interactive image retrieval using M-band wavelet, earth mover’s distance and fuzzy relevance feedback

Malay Kumar Kundu, Minakshi Banerjee, Manish Chowdhury, 2012, Int. J. Mach. Learn. Cybern..

Content Based Image Retrieval with Multiresolution Salient Points

Malay Kumar Kundu, Minakshi Banerjee, 2004, ICVGIP.

Early Started Hybrid Denoising Technique for Medical Images

Minakshi Banerjee, Punit Sharma, Mausumi Maitra, 2019 .

Dealing with Higher Dimensionality and Outliers in Content-Based Image Retrieval

Siddhartha Bhattacharyya, Minakshi Banerjee, Seikh Mazharul Islam, 2017 .

A Clustering Approach to Image Retrieval Using Range Based Query and Mahalanobis Distance

Sanghamitra Bandyopadhyay, Sankar K. Pal, Minakshi Banerjee, 2013, Rough Sets and Intelligent Systems.

An efficient method for PET image denoising by combining multi-scale transform and non-local means

Abhishek Bal, Minakshi Banerjee, Rituparna Chaki, 2020, Multimedia Tools and Applications.

MRI Brain Tumor Segmentation and Analysis using Rough-Fuzzy C-Means and Shape Based Properties

Abhishek Bal, Minakshi Banerjee, Punit Sharma, 2018, J. King Saud Univ. Comput. Inf. Sci..

Content based image retrieval with fuzzy geometrical features

Malay Kumar Kundu, Minakshi Banerjee, M. Kundu, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach

Malay Kumar Kundu, Minakshi Banerjee, 2008, Appl. Soft Comput..

An efficient wavelet and curvelet-based PET image denoising technique

Abhishek Bal, Minakshi Banerjee, Mausumi Maitra, 2019, Medical & Biological Engineering & Computing.

Embedded Implementation of Early Started Hybrid Denoising Technique for Medical Images with Optimized Loop

Minakshi Banerjee, Punit Sharma, Mausumi Maitra, 2020 .

Interactive Image Retrieval in a Fuzzy Framework

Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagrecha, 2009, WILF.

A Comparative Analysis of Application of Niblack and Sauvola Binarization to Retinal Vessel Segmentation

Minakshi Banerjee, Mahua Nandy, M. Nandy, 2017, 2017 3rd International Conference on Computational Intelligence and Networks (CINE).

Automatic Caption Generation of Retinal Diseases with Self-trained RNN Merge Model

Minakshi Banerjee, Sanjukta Mishra, 2020, ACSS.

Content-based image retrieval based on multiple extended fuzzy-rough framework

Siddhartha Bhattacharyya, Susanta Chakraborty, Minakshi Banerjee, 2017, Appl. Soft Comput..

Exhaustive Traversal of Deep Learning Search Space for Effective Retinal Vessel Enhancement

Minakshi Banerjee, Mahua Nandy Pal, 2021, Advances in Intelligent Systems and Computing.

Retinal vessel segmentation using a strip wise classification approach with grid search-based parameter selection

Minakshi Banerjee, Mahua Nandy Pal, 2021, International Journal of Computational Vision and Robotics.

Quantum neural network application for exudate affected retinal image patch identification

Minakshi Banerjee, Mahua Nandy Pal, Ankit Sarkar, 2021, International Journal of Computational Vision and Robotics.

An efficient brain tumor image classifier by combining multi-pathway cascaded deep neural network and handcrafted features in MR images

Abhishek Bal, Minakshi Banerjee, Punit Sharma, 2021, Medical & Biological Engineering & Computing.

IMAGE RETRIEVAL WITH VISUALLY PROMINENT FEATURES USING FUZZY SET THEORETIC EVALUATION

Minakshi Banerjee, Malay K. Kundu, P. K. Das, 2006 .