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blob loss: Instance Imbalance Aware Loss Functions for Semantic Segmentation
Deep convolutional neural networks (CNN) have proven to be remarkably effective in semantic segmentation tasks. Most popular loss functions were...
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An Efficient Vehicle Detection and Shadow Removal Using Gaussian Mixture Models with Blob Analysis for Machine Vision Application
Cities in the modern era often face a hectic challenge due to increased urbanization and industrialization. This problem arises as the number of cars...
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SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
In agriculture, detecting plant diseases is crucial for optimal plant growth. Initially, input images are collected from three datasets: banana leaf...
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Generating BlobCell Label from Weak Annotations for Precise Cell Segmentation
Cell segmentation in histopathological image analysis is critical for identifying cancer cells and predicting disease severity. However, manual cell...
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Maximum entropy scaled super pixels segmentation for multi-object detection and scene recognition via deep belief network
Recent advances in visionary technologies impacted multi-object recognition and scene understanding. Such scene-understanding tasks are a demanding...
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Lightweight real-time hand segmentation leveraging MediaPipe landmark detection
Real-time hand segmentation is a key process in applications that require human–computer interaction, such as gesture recognition or augmented...
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IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough Transform
The field of biometrics has become increasingly intriguing due to the significant amount of research being conducted on Iris Recognition (IR) in...
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A concept for movement-based computerized segmentation of connective tissue in ultrasound imaging
This study proposes a novel concept for the computerized segmentation of ultrasound images of connective tissue based on movement. Tendons and...
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Pseudo-Boolean Polynomials Approach to Edge Detection and Image Segmentation
We introduce a deterministic approach to edge detection and image segmentation by formulating pseudo-Boolean polynomials on image patches. The...
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Script independent text segmentation of document images using graph network based shortest path scheme
Document image processing is one of the growing research fields in the digital world for applications like data base indexing, text recognition,...
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Curvilinear object segmentation in medical images based on ODoS filter and deep learning network
Automatic segmentation of curvilinear objects in medical images plays an important role in the diagnosis and evaluation of human diseases, yet it is...
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Fully residual Unet-based semantic segmentation of automotive fisheye images: a comparison of rectangular and deformable convolutions
Semantic image segmentation is an essential task for autonomous vehicles and self-driving cars where a complete and real-time perception of the...
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Possibilistic exponential spatial fuzzy clustering based cancer segmentation in multi-parametric prostate MRI
Cancer segmentation using multi-parametric prostate magnetic resonance imaging (mp-MRI) is more opted by biomedical engineers and researchers because...
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MFU-Net: a deep multimodal fusion network for breast cancer segmentation with dual-layer spectral detector CT
With the development of medical imaging technologies, breast cancer segmentation remains challenging, especially when considering multimodal imaging....
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Video Polyp Segmentation: A Deep Learning Perspective
We present the first comprehensive video polyp segmentation (VPS) study in the deep learning era. Over the years, developments in VPS are not moving...
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An intelligent assistive algorithm for bone tumor detection from human X-Ray images based on binary Blob analysis
Image segmentation is an essential phase of medical image processing. Orthopaedics practitioners suggest X-Ray imaging to detect bone related...
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Contrastive Learning-Based Breast Tumor Segmentation in DCE-MRI
Precise and automated segmentation of tumors from breast dynamic contrast-enhanced magnetic resonance images (DCE-MRI) is crucial for obtaining...
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Segmentation of 3d medical images for detection and classification of lung tumor using content-based features
Lung cancer is one of the most fatal types of lung disease, in which early detection of this cancer can prevent its dangerous consequences. This...
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SeamFormer: High Precision Text Line Segmentation for Handwritten Documents
Historical manuscripts often contain dense unstructured text lines. The large diversity in sizes, scripts and appearance makes precise text line...
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LineSeg: line segmentation of scanned newspaper documents
Segmentation is a significant stage for the recognition of old newspapers. Text-line extraction in the documents like newspaper pages which have very...
