Search Results - "Jha, Debesh"
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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
Published in 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) (01-07-2020)“…Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and…”
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HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
Published in Scientific data (28-08-2020)“…Artificial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of…”
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Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
Published in IEEE access (01-01-2021)“…Computer-aided detection, localization, and segmentation methods can help improve colonoscopy procedures. Even though many methods have been built to tackle…”
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Kvasir-Capsule, a video capsule endoscopy dataset
Published in Scientific data (27-05-2021)“…Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving…”
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Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network
Published in Journal of healthcare engineering (01-01-2017)“…Background. Error-free diagnosis of Alzheimer’s disease (AD) from healthy control (HC) patients at an early stage of the disease is a major concern, because…”
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A multi-centre polyp detection and segmentation dataset for generalisability assessment
Published in Scientific data (06-02-2023)“…Polyps in the colon are widely known cancer precursors identified by colonoscopy. Whilst most polyps are benign, the polyp’s number, size and surface structure…”
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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge
Published in Scientific reports (23-01-2024)“…Polyps are well-known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps…”
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Pathological Brain Detection Using Weiner Filtering, 2D-Discrete Wavelet Transform, Probabilistic PCA, and Random Subspace Ensemble Classifier
Published in Computational Intelligence and Neuroscience (01-01-2017)“…Accurate diagnosis of pathological brain images is important for patient care, particularly in the early phase of the disease. Although numerous studies have…”
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MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Published in IEEE journal of biomedical and health informatics (01-05-2022)“…Methods based on convolutional neural networks have improved the performance of biomedical image segmentation. However, most of these methods cannot…”
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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Published in IEEE transaction on neural networks and learning systems (01-11-2023)“…The increase of available large clinical and experimental datasets has contributed to a substantial amount of important contributions in the area of biomedical…”
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PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Published in 2024 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (15-07-2024)“…Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras. It supports multimodal tasks, including…”
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Conference Proceeding -
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A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation
Published in IEEE journal of biomedical and health informatics (01-06-2021)“…Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high…”
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Su1499 ENHANCING LIVER SEGMENTATION OUTCOMES WITH MSFORMERBASED ARTIFICIAL INTELLIGENCE SYSTEM
Published in Gastroenterology (New York, N.Y. 1943) (18-05-2024)Get full text
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P4‐095: CONTOURLET‐BASED FEATURE EXTRACTION FOR COMPUTER‐AIDED CLASSIFICATION OF ALZHEIMER'S DISEASE
Published in Alzheimer's & dementia (01-07-2018)Get full text
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Abstract P1057: Outcomes Of Impella Versus ECMO In Multivessel Percutaneous Coronary Intervention
Published in Circulation research (04-08-2023)“…Abstract only Background: Impella is a mechanical circulatory support device indicated in severe cardiogenic shock and high-risk percutaneous coronary…”
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ENHANCING COLONOSCOPY OUTCOMES WITH DAPODET-BASED AI FOR REAL-TIME SESSILE SERRERATED POLYP DETECTION
Published in Gastrointestinal endoscopy (01-06-2024)Get full text
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THE BOSTON ERCP DATASET: A VIDEO DATASET FOR ADVANCED ENDOSCOPY
Published in Gastrointestinal endoscopy (01-06-2024)Get full text
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GMSRF-Net: An Improved generalizability with Global Multi-Scale Residual Fusion Network for Polyp Segmentation
Published in 2022 26th International Conference on Pattern Recognition (ICPR) (21-08-2022)“…Colonoscopy is a gold standard procedure but is highly operator-dependent. Efforts have been made to automate the detection and segmentation of polyps, a…”
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Conference Proceeding -
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SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation
Published in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (03-01-2024)“…In recent years, continuous latent space (CLS) and discrete latent space (DLS) deep learning models have been proposed for medical image analysis for improved…”
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Conference Proceeding -
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Automatic Polyp Segmentation with Multiple Kernel Dilated Convolution Network
Published in 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) (01-07-2022)“…The detection and removal of precancerous polyps through colonoscopy is the primary technique for the prevention of colorectal cancer worldwide. However, the…”
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Conference Proceeding Journal Article