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
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;
Performance Analysis of Meningioma Brain Tumor Detection System Using Feature Learning Optimization and ANFIS Classification Method
Sign Up to like & getrecommendations! Published in 2020 at "Iete Journal of Research"
DOI: 10.1080/03772063.2020.1844079
Abstract: The meningioma tumors are classified and segmented using soft computing methods in this paper. The noise contents are detected and reduced using directional filters and then Gabor transform is appl... read more here.
Keywords: performance analysis; tumor detection; meningioma brain; meningioma ... See more keywords
On the Performance of Deep Transfer Learning Networks for Brain Tumor Detection Using MR Images
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DOI: 10.1109/access.2022.3179376
Abstract: A brain tumor need to be identified in its early stage, otherwise it may cause severe condition that cannot be cured once it is progressed. A precise diagnosis of brain tumor can play an important… read more here.
Keywords: transfer learning; brain tumor; brain; tumor detection ... See more keywords
Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3265394
Abstract: Automatic liver tumor detection from computed tomography (CT) makes clinical examinations more accurate. However, deep learning-based detection algorithms are characterized by high sensitivity and low precision, which hinders diagnosis given that false-positive tumors must first… read more here.
Keywords: slice fusion; false positives; detection; tumor detection ... See more keywords
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations.
Sign Up to like & getrecommendations! Published in 2022 at "Radiology"
DOI: 10.1148/radiol.210817
Abstract: Background Artificial intelligence (AI) applications for cancer imaging conceptually begin with automated tumor detection, which can provide the foundation for downstream AI tasks. However, supervised training requires many image annotations, and performing dedicated post hoc… read more here.
Keywords: brain mri; detection; model; tumor detection ... See more keywords