Highly Stable and Long-Circulating Metal-Organic Frameworks Nanoprobes for Sensitive Tumor Detection In Vivo.
Sign Up to like & getrecommendations! Published in 2019 at "Advanced healthcare materials"
DOI: 10.1002/adhm.201900761
Abstract: High stability and extended circulation time in vivo are quite favorable for practical biomedical applications of nanomaterials, because they greatly facilitate the preferential tumor accumulation of nanomaterials, resulting in enhanced signal fidelity for imaging and… read more here.
Keywords: tumor detection; metal organic; stable long; organic frameworks ... See more keywords
A computer‐aided approach for meningioma brain tumor detection using CANFIS classifier
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22223
Abstract: Abnormal growth of cells in brain leads to the formation of tumors in brain. The earlier detection of the tumors in brain will save the life of the patients. Hence, this article proposes a computer‐aided… read more here.
Keywords: tumor detection; detection; canfis classifier; brain tumor ... See more keywords
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22831
Abstract: In the last decade, there has been a significant increase in medical cases involving brain tumors. Brain tumor is the tenth most common type of tumor, affecting millions of people. However, if it is detected… read more here.
Keywords: saliency; brain tumor; brain; tumor detection ... See more keywords
Breast tumor detection and classification based on density
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09220-x
Abstract: Breast cancer is the most widely disease in women and is considered one of the biggest causes of death in women. Early detection, classification, and diagnosis of this cancer are essential to reduce the death… read more here.
Keywords: detection classification; tumor detection; breast; tumor ... See more keywords
Brain Tumor Detection and Classification Using Cycle Generative Adversarial Networks.
Sign Up to like & getrecommendations! Published in 2022 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-022-00502-6
Abstract: Brain cancer ranks tenth on the list of leading causes of death in both men and women. Biopsy is one of the most used methods for diagnosing cancer. However, the biopsy process is quite dangerous… read more here.
Keywords: tumor; tumor detection; brain tumor; generative adversarial ... See more keywords
Second near-infrared emissive lanthanide complex for fast renal-clearable in vivo optical bioimaging and tiny tumor detection.
Sign Up to like & getrecommendations! Published in 2018 at "Biomaterials"
DOI: 10.1016/j.biomaterials.2018.03.041
Abstract: In vivo optical imaging by using a new imaging window located at short-wavelength infrared region (1000-1700 nm, named as NIR II) presents an unprecedented improvement in imaging sensitivity and spatial resolution over the traditional visible and near-infrared… read more here.
Keywords: tumor detection; near infrared; vivo optical; tiny tumor ... See more keywords
Tumor detection on bronchoscopic images by unsupervised learning
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DOI: 10.1038/s41598-024-81786-0
Abstract: The diagnosis and early identification of intratracheal tumors relies on the experience of the operators and the specialists. Operations by physicians with insufficient experience may lead to misdiagnosis or misjudgment of tumors. To address this… read more here.
Keywords: detection; detection bronchoscopic; images unsupervised; tumor ... See more keywords
A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans
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DOI: 10.1038/s41598-025-07807-8
Abstract: The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions… read more here.
Keywords: detection; privacy preserving; brain; framework ... See more keywords
Weakly supervised regression enables interpretable tumor detection in whole-slide histopathology without negative cases
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DOI: 10.1038/s41598-025-27158-8
Abstract: Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diagnosis and treatment planning. Multiple Instance Learning (MIL) has emerged as a widely used approach for weakly-supervised tumor detection with large-scale data… read more here.
Keywords: weakly supervised; tumor; histopathology; regression ... See more keywords
Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
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DOI: 10.1038/s41598-025-99576-7
Abstract: Brain tumor detection is essential for early diagnosis and successful treatment, both of which can significantly enhance patient outcomes. To evaluate brain MRI scans and categorize them into four types—pituitary, meningioma, glioma, and normal—this study… read more here.
Keywords: deep learning; brain tumor; brain; tumor detection ... See more keywords
Enhanced DWT Filtering Technique for Brain Tumor Detection
Sign Up to like & getrecommendations! Published in 2019 at "IETE Journal of Research"
DOI: 10.1080/03772063.2019.1656555
Abstract: ABSTRACTThis paper presents Magnetic Resonance Imaging (MRI) brain tumor detection utilizing Fuzzy C Means strategy with an upgraded noise filtering calculation. A novel technique is proposed to en... read more here.
Keywords: technique; tumor detection; brain tumor;