One of the most hazardous diseases is cancer, which poses a significant threat to human health due to its ability to manifest in various parts of the body as abnormal, proliferative cells. In the case of oral cancer, ...
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Head and neck (H &N) cancer is one of the most prevalent cancers [1]. In its treatment and prognosis analysis, tumors and metastatic lymph nodes may play an important role but their manual segmentations are time-c...
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Technology has changed how healthcare is delivered- we now have the Internet of Things and sensor-enabled wearable devices today. These improvements have dramatically improved patient results by allowing actual pursui...
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Film scores are considered an essential part of the film cinematic experience, but the process of film score generation is often expensive and infeasible for small-scale creators. Automating the process of film score ...
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Brain tumor classification from MRI scans demands precise image analysis, a challenge compounded by the variable morphology and location of tumors. Addressing this, our study presents an innovative approach that ...
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Connected Component Labeling (CCL) is a fundamental task in patternrecognition and image processing algorithms. It groups the pixels into regions, such that adjacent pixels have the same label while pixels belonging ...
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Convolutional neural network-related applications have now been developed on a variety of platforms, including CPUs, GPUs, and others, but most of them sacrificed energy consumption to achieve good performance. Theref...
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The proceedings contain 12 papers. The special focus in this conference is on Multiscale Multimodal Medical Imaging. The topics include: Towards Optimal Patch Size in Vision Transformers for Tumor Segmentati...
ISBN:
(纸本)9783031188138
The proceedings contain 12 papers. The special focus in this conference is on Multiscale Multimodal Medical Imaging. The topics include: Towards Optimal Patch Size in Vision Transformers for Tumor Segmentation;Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans;visual Modalities Based Multimodal Fusion for Surgical Phase recognition;cross-Scale Attention Guided Multi-instance Learning for Crohn’s Disease Diagnosis with Pathological Images;vessel Segmentation via Link Prediction of Graph Neural Networks;A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset;Liver Segmentation Quality Control in Multi-sequence MR Studies;pattern Analysis of Substantia Nigra in Parkinson Disease by Fifth-Order Tensor Decomposition and Multi-sequence MRI;gabor Filter-Embedded U-Net with Transformer-Based Encoding for Biomedical Image Segmentation;Learning-Based Detection of MYCN Amplification in Clinical Neuroblastoma Patients: A Pilot Study.
k-Nearest Neighbor (k-NN) is a well-known instance-based learning algorithm;widely used in patternrecognition. A classifier can generate highly accurate predictions if provided with sufficient training instances. Thu...
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As humans, we use our facial expressions to communicate our thoughts and feelings without saying a word. The recognition of these facial expressions can provide a better idea of people's thoughts or opinions. At p...
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