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128 results for “Lesion”
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Research ArticleOpen accessEvery word in the titleLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 372 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvancing Stroke Lesion Segmentation With U-Net Variants: Classical, Transfer Learning, and MRI Sequence-Specific Customized ApproachesSonia Flora Panesar, Amit P. GanatraIschemic stroke, caused by restricted cerebral blood flow, is a leading cause of death and disability worldwide. Accurate segmentation of stroke lesions in MRI is essential for timely diagnosis but remains labor-intensive when done manually. This study presents a comparative evaluation of three U-Net variants for automated ischemic stroke lesion segmentation using the ISLES 2022 dataset: (1) Classical U-Net with … …Journal of Computer Science, Vol. 22, Issue 2 · 27 Feb 2026 · 1,791 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutomatic Skin Lesion Diagnosis and Medical ReportGeneration Based on Image CaptioningAbdelouahed Sabri, Chaimae Zouitni, Hamza El Medhoune, Abdellah AarabCaptioning or textual description of the visual content of imagesinvolves generating meaningful words and sentences to describe the contentof an image. This work lies at the crossroads of Natural LanguageProcessing (NLP) and computer vision. When dealing with medical imagesand especially skin lesions, it goes beyond simple classification to generatedetailed textual reports describing the skin lesion's conditioncomprehensively. Such reports are crucial … …Journal of Computer Science, Vol. 21, Issue 5 · 13 May 2025 · 5,422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,427 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAUTOMATIC SEGMENTATION OF SKIN LESIONS USING HISTOGRAM THRESHOLDINGNidhal Khdhair El Abbadi, Abbas Hussien MiryAutomatic lesion segmentation is an important part of computer-based image analysis of pigmented skin lesions. Currently, there is a great interest in the development of Computer-Aided Diagnosis (CAD) systems for dermoscopic images. The segmentation step is one of the most important ones, since its accuracy determines the eventual success or failure of a CAD system. This study introduced new method … …Journal of Computer Science, Vol. 10, Issue 4 · 19 Dec 2013 · 7,559 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhysical Therapy Improved Hand Function in a Patient with Traumatic Peripheral Lesion: A Case StudyMarco Orsini, Julio Guilherme Silva, Clynton Lourenco Correa et al.Problem statement: Nerves are frequently injured by traumatic lesions, such as crushing, compression (entrapment), stretching, partial and total extraction, resulting in damages to the transmission of nerve impulses and to the reduction or loss of sensitivity, to the motility and to the reflexes of the innervated area. The objective of this study was to evaluate the results of a rehabilitation … …Current Research in Medicine, Vol. 3, Issue 2 · 6 Aug 2012 · 7,895 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial Distribution of Fibroblast Growth Factor Receptor 2 in Normal and Lesioned Central Nervous System of Pleurodeles waltliiMarie Moftah, Marc Landry, Frederic Nagy, Jean-Marie CabelguenFibroblast Growth Factors (FGFs) have been implicated in numerous cellular processes including proliferation, migration, differentiation and neuronal survival. One of these growth factors, Fibroblast Growth Factor 2 (FGF2), is apparently implicated in the ability of the adult salamander (Pleurodeles waltlii) to recover locomotion following complete transection of the spinal cord. In a previous study, we reported up regulation of FGF2 … …Neuroscience International, Vol. 3, Issue 2 · 4 Sep 2012 · 7,145 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeature Extraction for Characterization of Breast Lesions in Ultrasound Echography and ElastographyShirley Selvan, M. Kavitha, S. Shenbagadevi, S. SureshProblem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,315 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEimeria Legionensis and Eimeria kofoidi (Apicomplexa: Eimeriidae) Infection and Associated Lesions in Naturally Infected Red-Legged Partridges (Alectoris rufa)G. Fichi, G. Rossi, Stefania PerrucciWith the aim to identify the Eimeria species responsible for coccidiosis in 50 deceased red-legged partridges (Alectoris rufa), individual faecal samples were collected, dissolved in 2.5% K2Cr2O7 solution and maintained at room temperature to allow sporulation of the oocysts. Morphology and dimensions of sporulated oocysts were microscopically evaluated. To assess Eimeria intestinal localisation, faecal samples and scrapings taken from the … …American Journal of Animal and Veterinary Sciences, Vol. 12, Issue 4 · 9 Nov 2017 · 7,689 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEvaluation of Mast Cell Distribution in Oral Lichen Planus and Lichenoid Lesions by Immunohistochemical and Histochemical AnalysisMahi Balci, Mustafa Emre ErcinThe histopathological assessment of Oral Lichen Planus (OLP) and oral lichenoid lesions is relatively subjective. The distinguishing criteria established by WHO effectively reproducible when all selection criteria were fulfilling but sometimes fail to provide a reliable diagnosis. The aim of the present study was to evaluate mast cell counts and their distribution among OLP and lichenoid lesions. The density and … …American Journal of Immunology, Vol. 12, Issue 4 · 11 Dec 2016 · 7,791 accessesView PDFCite