Dr Narendra Lalchand Lokhande

@rcpit.ac.in

Assistant Professor, Department of Electronics and Telecommunication
R C Patel Institute of Technology, Shirpur

Dr Narendra Lalchand Lokhande


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https://researchid.co/narenlokhande

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Biomedical Engineering
4

Scopus Publications

14

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Effective CT Lung Image Denoising using Deep-Dense Inception Generative Adversarial Network
    Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware
    International Research Journal of Multidisciplinary Scope, 2025
    Computed tomography (CT) is used to visualize body structures and diagnose anomalies, making it an important tool in medical diagnosis and therapy planning. However, imaging techniques such as CT, MRI, ultrasound (US), and PET are frequently hampered by numerous types of noise, including Gaussian, speckle, Poisson variability, and salt-andpepper disturbances. These noises are created by technological interference, image processing flaws, and patient movement, which reduce image clarity and conceal key diagnostic details. The major difficulty in medical imaging is to remove noise while retaining important diagnostic information. Traditional denoising algorithms, such as Gaussian, median, and Wiener filters, frequently fail to adequately control complicated noise patterns or preserve small image details, limiting their utility in medical applications. This study presents an advanced unsupervised blind image denoising strategy that use an integrated model to treat numerous noise types without requiring paired noisy and clean images. The suggested method uses a deep and dense generative adversarial network (DD-GAN) with a new loss function to efficiently reduce noise and degradation at various intensity levels. This method advances CT image denoising by tackling issues such as intra-class variability, artefact importance, and training complexity, hence enhancing diagnostic reliability and accuracy
  • WGAN-LUNet for High-Accuracy Lung Nodule Segmentation
    Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware
    International Research Journal of Multidisciplinary Scope, 2024
    In the realm of computer-aided diagnosis systems designed for lung cancer, accurately segmenting nodules holds vital importance. This segmentation process has a vital role in examining the image attributes of lung nodules captured in computed tomography scans, ultimately aiding in separation of benign and cancerous nodules. Timely detection of these lesions stands as the most effective strategy in combating lung cancer, a disease notorious for its high malignancy rates across both genders. Despite numerous deep learning techniques proposed for nodule segmentation, it remains challenging due to factors such as nodule characteristics, location, false positives, and the necessity for precise boundary detection. The present paper presents an ultra-modern method for lung nodule segmentation in computer tomographic images, based on a Generative Adversarial Network. A discriminator and a generator make up the GAN model. Our generator, Residual Dilated Attention Gate UNet, serves as the segmentation module, while a discriminator is Convolutional Neural Network classifier. To enhance training stability, we utilize the Wasserstein GAN algorithm. We compare our hybrid deep learning model, called WGAN-LUNet, both quantitatively and qualitatively with other methods that are already in use. We evaluate the model using multiple quantitative criteria.
  • Innovative Approach to Lung Nodule Detection Using Random Walker Segmentation and Texture Analysis on CT Images
    Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware
    2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023, 2023
    Lung cancer remains a significant global health concern, necessitating advancements in early detection and diagnosis. This research presents a comprehensive approach to lung cancer detection using computed tomography (CT) images and advanced image processing techniques. The proposed methodology encompasses image enhancement through Block-Matching 3D (BM3D) filtering, precise segmentation using Random Walker segmentation, and comprehensive feature extraction, incorporating Gray-Level Co-occurrence Matrix (GLCM) analysis and Haralick texture features. The study leverages the Lung Image Database Consortium (LIDC) database to evaluate effectiveness of the proposed approach. The pre-processing stage employs BM3D filtering to attenuate noise inherent in CT images, enhancing the subsequent analysis. Random Walker segmentation is then employed to accurately delineate lung nodules, even in cases of irregular boundaries. GLCM analysis and Haralick texture features extraction capture nuanced textural information within segmented nodules, facilitating the characterization of potential cancerous regions. Experimental results determine the effectiveness of proposed approach. By integrating BM3D filtering, Random Walker segmentation, and texture analysis, the method achieves robust lung nodule detection and accurate cancer region identification. Comparative analysis against existing techniques highlights its promising performance. This research contributes to the field of lung cancer detection by presenting an integrated framework that leverages cutting-edge image processing techniques. The combination of BM3D filtering, Random Walker segmentation, and texture analysis enhances CT image lung cancer detection accuracy. The findings underscore the potential of this approach as a valuable tool for early diagnosis, ultimately contributing to improved patient outcomes.
  • Lung CT Image Segmentation: A Convolutional Neural Network Approach
    Narendra Lalchand Lokhande, Tushar Hrishikesh Jaware
    Lecture Notes in Networks and Systems, 2022

RECENT SCHOLAR PUBLICATIONS

  • Embedded System Based Smart Street Light
    N Lokhande, E Patil, R Kapadi, M Tamboli
    Journal of Integrated Engineering Sciences 2 (1), 01-11 , 2026
    2026.0
  • Effective CT Lung Image Denoising using Deep-Dense Inception Generative Adversarial Network
    NL Lokhande, TH Jaware
    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE Учредители: Iquz … , 2025
    2025.0
  • AUTOMATED LUNG TISSUE SEGMENTATION IN CT IMAGES USING MULTI-WAVELET FILTER BANKS AND RANDOM FOREST ALGORITHM
    NL LOKHANDE, TH JAWARE
    INTERNATIONAL JOURNAL 9 (2), 17-21 , 2024
    2024.0
  • A SYSTEMATIC REVIEW OF AI BASED SOFTWARE TEST CASE OPTIMIZATION
    NL LOKHANDE, TH JAWARE
    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE Учредители: Iquz … , 2024
    2024.0
  • Innovative Approach to Lung Nodule Detection Using Random Walker Segmentation and Texture Analysis on CT Images
    NL Lokhande, TH Jaware
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023.0
    Citations: 2
  • Lung CT image segmentation: a convolutional neural network approach
    NL Lokhande, TH Jaware
    Information and Communication Technology for Competitive Strategies (ICTCS … , 2021
    2021.0
    Citations: 2
  • Comparative Study of Filtering Techniques on Lung CT Images
    NL Lokhande, DTH Jaware
    International Journal of Engineering Research and Applications, 46-48 , 2020
    2020.0
  • Water Level Notification
    MLP Narendra L Lokhande, Pravin R Bhole
    2018.0
  • Voice controlled Robotic Vehicle
    MP Pravin Bhole, Narendra Lokhande
    2018.0
  • Voice Command Based Robotic Vehicle Control
    PRM P R Bhole, N L Lokhande, Manoj L Patel, V D Rathod
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
    Citations: 8
  • Intrusion Detection System Using WSN
    NLL Manoj L Patel, P R Bhole
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
  • Automatic Tank Water Level Monitoring and Notification
    PPB Narendra L Lokhande, Pravin R Bhole, Manoj L Patel, Pranav V Shah
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
    Citations: 2
  • Paperless Receipt System
    NL Pravin Bhole
    LAP LAMBERT Academic Publishing , 2017
    2017.0
  • Voice Recognizing Wheel Chair
    NL Pravin Bhole
    LAP LAMBERT Academic Publishing , 2016
    2016.0
  • Robot Motion Control Using DIP
    NL Lokhande, PR Bhole
    LAP LAMBERT Academic Publishing , 2015
    2015.0
  • Prospective Computer vision based systems for grading of bananas – a review
    ML Patel, PR Bhole, NL lokhande
    National Conference on Recent Trends in Engineering , 2013
    2013.0
  • WGAN-LUNet for High-Accuracy Lung Nodule Segmentation
    NL Lokhande, TH Jaware

MOST CITED SCHOLAR PUBLICATIONS

  • Voice Command Based Robotic Vehicle Control
    PRM P R Bhole, N L Lokhande, Manoj L Patel, V D Rathod
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
    Citations: 8
  • Innovative Approach to Lung Nodule Detection Using Random Walker Segmentation and Texture Analysis on CT Images
    NL Lokhande, TH Jaware
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023.0
    Citations: 2
  • Lung CT image segmentation: a convolutional neural network approach
    NL Lokhande, TH Jaware
    Information and Communication Technology for Competitive Strategies (ICTCS … , 2021
    2021.0
    Citations: 2
  • Automatic Tank Water Level Monitoring and Notification
    PPB Narendra L Lokhande, Pravin R Bhole, Manoj L Patel, Pranav V Shah
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
    Citations: 2
  • Embedded System Based Smart Street Light
    N Lokhande, E Patil, R Kapadi, M Tamboli
    Journal of Integrated Engineering Sciences 2 (1), 01-11 , 2026
    2026.0
  • Effective CT Lung Image Denoising using Deep-Dense Inception Generative Adversarial Network
    NL Lokhande, TH Jaware
    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE Учредители: Iquz … , 2025
    2025.0
  • AUTOMATED LUNG TISSUE SEGMENTATION IN CT IMAGES USING MULTI-WAVELET FILTER BANKS AND RANDOM FOREST ALGORITHM
    NL LOKHANDE, TH JAWARE
    INTERNATIONAL JOURNAL 9 (2), 17-21 , 2024
    2024.0
  • A SYSTEMATIC REVIEW OF AI BASED SOFTWARE TEST CASE OPTIMIZATION
    NL LOKHANDE, TH JAWARE
    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE Учредители: Iquz … , 2024
    2024.0
  • Comparative Study of Filtering Techniques on Lung CT Images
    NL Lokhande, DTH Jaware
    International Journal of Engineering Research and Applications, 46-48 , 2020
    2020.0
  • Water Level Notification
    MLP Narendra L Lokhande, Pravin R Bhole
    2018.0
  • Voice controlled Robotic Vehicle
    MP Pravin Bhole, Narendra Lokhande
    2018.0
  • Intrusion Detection System Using WSN
    NLL Manoj L Patel, P R Bhole
    International Journal for Research in Applied Science & Engineering … , 2017
    2017.0
  • Paperless Receipt System
    NL Pravin Bhole
    LAP LAMBERT Academic Publishing , 2017
    2017.0
  • Voice Recognizing Wheel Chair
    NL Pravin Bhole
    LAP LAMBERT Academic Publishing , 2016
    2016.0
  • Robot Motion Control Using DIP
    NL Lokhande, PR Bhole
    LAP LAMBERT Academic Publishing , 2015
    2015.0
  • Prospective Computer vision based systems for grading of bananas – a review
    ML Patel, PR Bhole, NL lokhande
    National Conference on Recent Trends in Engineering , 2013
    2013.0
  • WGAN-LUNet for High-Accuracy Lung Nodule Segmentation
    NL Lokhande, TH Jaware