Browsing by Author "Gohel, Bakul"

Now showing items 1-13 of 13

    • Analyzing Functional Connectivity Networks in the Brain and the Relationshipof Node-Level Characteristics 

      Patel, Dhairya Bhaveshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      It might be difficult to comprehend how the brain functions and how its structureand function interact because it is the body�s most complicated organ. Recentadvances in the non-invasive measurement techniques of brain ...

    • Automatic localization of anatomical landmarks in 2D MRI localizer sequence using deep convolutional neural network 

      Shah, Divya (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In Medical Imaging of the brain, especially Magnetic Resonance Imaging (MRI), localizing various anatomical landmarks like the Anterior and Posterior Commissure (A.C./P.C.) and Mid-Sagittal plane (MSP) is crucial for good ...

    • Deep Learning based Nuclei Segmentation in Histopathological Images: A perspective on Image Normalization 

      Vaishnani, Kishankumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Histopathology is the diagnosis and study of the different tissues. For diagnosis of different diseases, there are parameters like nuclei count, anatomy of nuclei, etc. However, identifying these parameters manually is a ...

    • Location aware tumor segmentation on `MRI images 

      Jadiya, Kevin (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In our research, we introduce an innovative approach to the segmentation of braintumors, utilizing a convolutional neural network (CNN) architecture that incorporateslocalization awareness. This approach represents a ...

    • Multi-Model Person Re-identification: Combining Facial and Body Features 

      Bharadwaj, Hemani (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      In the surveillance industry, Person Re-identification (Re-ID) is significant as it matches a person�s appearance across multiple non-overlapping cameras. How-ever, this task is challenging due to changes in camera viewpoints, ...

    • Musculoskeletal Tissue Segmentation in CT Scan Images 

      Ranjan, Raushan (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Osteoarthritis (OA) is a common cause of painful knee joints among senior citizens. Osteoarthritis restricts the range of movement of the body. Senior citizens are particularly vulnerable, as limited mobility reduces their ...

    • Non-Homogeneous Haze Removal Using Deep Neural Networks 

      Sharma, Harsh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image Dehazing is a famous computer vision application that has been in the researcharea for the past decade. It involves reducing or removing haze/fog froman image to extract more information and make it more visually ...

    • Performance Assessment of Edge Traffic Distribution Routing Algorithm for Graphene Based Network-on-Chip 

      Gupta, Yatin Kumar (2021)
      Network-on-chip (NoC) has evolved as new paradigm for high-dense interconnect configurations in advanced integrated circuit designs. The increasing numbers of transistor cores with decrease in chip area is the leading ...

    • Region based multiple object tracking with LSTM supported trajectories 

      Mapara, Manan Vikas (2021)
      Object Tracking is the growing field in the area of computer vision with its demands in various areas in monitoring and surveillance. Areas of surveillance can be improved with proper and efficient trackers which can ensure ...

    • Shadow Detection and Removal from video using Deep Learning 

      Dodiya, Krutika (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The removal of shadow from images is crucial in computer vision as it can enhancethe interpretability and visual quality of images. This research work proposesa cascade U-Net architecture for the shadow removal, consisting ...

    • Song Content Labeling using an Incremental Learning Approach 

      Pol, Anand (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Multimedia Data Content Labeling has been a research area for a relatively long period. Researchers have spent a substantial amount of time focusing on classifying video sequences, music genres, and artists� classification. ...

    • Super resolution of Covid-19 CT-Scan Images 

      Patel, Vaidik Gautam (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      Acquisition of high quality CT images is difficult, because it requires exposing patients to high doses of radiation. Super resolution algorithms can help in over coming this problem and obtain higher spatial resolution ...

    • Tissue-Specific Analysis of Super Resolution Methods for Medical Images 

      Doshi, Nisarg (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image super-resolution (SR) techniques are widely used in various domains toenhance the resolution of low-resolution images, producing visually appealinghigh-resolution versions. However, regarding medical images, SR methods ...