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5 articles for “Pixel-level accuracy”
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Semantic Segmentation Using Fully Convolutional Network for An Autonomous Vehicle
Abstract: Numerous individuals inside the profound learning and PC vision networks comprehend what picture arrangement is. We would like to inform about our model that, what single object or scene is present within the image. Semantic segmentation is the most informative segmentation, where we wish to classify each and every pixel within the image. Deep networks have proved to be encoded with highlevel feature like semantic means which can deliver superior …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 21–27 Read article
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Boundary Localization of Optic Disc using Pixel Level Deviation in Retinal Fundus Image
Abstract: In automated computer-aided diagnosis (CAD) approach for Diabetic retinopathy (DR) detection and monitoring, optic disc (OD) localization is the first and fundamental task for further processing of retinal fundus image. Identification of OD area is complex, as it attains the similar pathological blood vessels characteristics such as intensity variations and texture pattern. This paper presents a simple approach for the outer boundary localization of OD based on pixel level variations, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 2, 2018 · pp. 14–18 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article