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  1. 1481
    por Kim, Young Jae, Kim, Kwang Gi
    Publicado 2022
    “…MATERIALS AND METHODS: We differentiated breast mass lesions from gray-scale X-ray mammography images based on regions of interest (ROIs). Our dataset comprised breast mammogram images for 150 cases of malignant masses from which we extracted the mass ROI, and we composed a CNN-based deep learning model trained on this dataset to identify ROI mass lesions. …”
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    Online Artículo Texto
    Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning
  2. 1482
    “…A new software was utilized to generate perfusion curves for the specific regions of interest (ROIs) of each GMI by depicting the fluorescence intensity over time. …”
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    Objective Perfusion Assessment in Gracilis Muscle Interposition—A Novel Software-Based Approach to Indocyanine Green Derived Near-Infrared Fluorescence in Reconstructive Surgery
  3. 1483
    “…This prospective study included 52 women with endometrial cancer (EC) who underwent MR imaging as initial staging in our hospital, allocated into low-grade (G1 and G2) and high-grade (G3) tumors according to the pathology reports. Regions of interest (ROIs) were drawn on the diffusion weighted images and apparent diffusion coefficient (ADC), true diffusivity (D), and perfusion fraction (f) using diffusion models were computed. …”
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    Diffusion Weighted Imaging in the Assessment of Tumor Grade in Endometrial Cancer Based on Intravoxel Incoherent Motion MRI
  4. 1484
    “…However, the region of interest (ROI) and temperature parameter of the eye have not been standardized and various options were adopted by previous studies. …”
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    Evaluation of the Best Region for Measuring Eye Temperature in Dairy Cows Exposed to Heat Stress
  5. 1485
    “…Five regions of interest (ROIs) were used to measure OST: medial conjunctive, cornea, lateral conjunctive, upper eyelid and entire orbital area. …”
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    The Effect of Face Masks during COVID-19 Pandemic on Ocular Surface Temperature—A Clinical Thermographic Analysis
  6. 1486
    “…For the skin cancer image, a total of 137,400 (229 × 3 x 200) texture features were acquired on three nonover-lapping regions of interest (ROIs). Principal component analysis (PCA) clustering approach was employed for reducing the dimension of feature dataset. …”
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    A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features
  7. 1487
    “…Drag–click maneuvers using in-house data navigation software-generated sound from regions of interest (ROIs) in vivo. Results: Four different representations of the auditory display were acquired per ROI: (1) audio spectrum, (2) waveform, (3) numerical signal-to-noise ratio (SNR), and (4) sound itself. …”
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    Auditory Display of Fluorescence Image Data in an In Vivo Tumor Model
  8. 1488
    “…The visual search pattern was analysed using the eye movement analysis with the Hidden Markov Models (EMHMM) approach and preference for the various regions of interest (ROIs). RESULTS: Two different eye movement patterns (distributed and selective) were identified (p < .05). …”
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    Understanding children's attention to traumatic dental injuries using eye‐tracking
  9. 1489
    “…EDSR provides superior SR performance across all ROI conditions.…”
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    Generating High-Resolution CT Slices from Two Image Series Using Deep-Learning-Based Resolution Enhancement Methods
  10. 1490
    “…Using specialized software, radiologists manually mapped regions of interest (ROIs) from computed tomography images and automatically extracted radiomics features. …”
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    Radiomics Combined with Multiple Machine Learning Algorithms in Differentiating Pancreatic Ductal Adenocarcinoma from Pancreatic Neuroendocrine Tumor: More Hands Produce a Stronger Flame
  11. 1491
    “…Moreover, a simplified deep convolutional neural network (DCNN) architecture for the BT classification is presented for automatic feature extraction and classification of the segmented regions of interest (ROIs). Five convolutional layers, rectified linear unit, normalization, and max-pooling layers make up the DCNN’s proposed simplified architecture. …”
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    Clinical Decision Support Framework for Segmentation and Classification of Brain Tumor MRIs Using a U-Net and DCNN Cascaded Learning Algorithm
  12. 1492
    “…Then, normal controls (NCs) and early MCI patients are distinguished by measuring the similarity between the dynamic FC series of corresponding brain regions of interest (ROIs) pairs in different subjects. However, previous studies have shown that FC patterns in different ROI-pairs contribute differently to disease classification. …”
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    A pairwise functional connectivity similarity measure method based on few-shot learning for early MCI detection
  13. 1493
    “…Two expert radiologists in consensus manually delineated three 3D-ROIs on each patient. To assess robustness for each feature, the intra-class correlation coefficient (ICC) across segmentations was evaluated. …”
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    Robustness of Radiomics in Pre-Surgical Computer Tomography of Non-Small-Cell Lung Cancer
  14. 1494
    “…Using an a priori regions of interest (ROI) approach, we identified 17 language and 19 somatomotor ROIs in each hemisphere from the Human Connectome Project parcellation map [M. …”
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    Restricted language access during childhood affects adult brain structure in selective language regions
  15. 1495
    Publicado 1995
    Tabla de Contenidos: “…Tours les martins du monde (2:14) -- Farinelli, il castrato (4:34) -- Louis Enfant Roi (1:43) -- Le Colonel Chabert (8:36) -- Jeanne la Pucelle (2:42) -- Le joueur de violon (14:29) -- L'accompagnatrice (3:52).…”
    Audiom
    Les grands succés classiques du cinéma français
  16. 1496
    “…Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead. …”
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    Exploring the ATN classification system using brain morphology
  17. 1497
    “…Grey matter CBF and regional CBF values in each Region of Interest (ROI) were extracted using individual grey matter images and WFU-Pickatlas ROIs with the MarsBar toolbox. …”
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    M18. REDUCED CORTICAL CEREBRAL BLOOD FLOW IN FIRST EPISODE PSYCHOSIS PATIENTS
  18. 1498
    “…On receipt of a Level-1 Accept, Readout Driver Modules (RODs), provide intermediate results to the data acquisition (DAQ) system for monitoring and diagnostic purpose. RoI information is sent to the RoI builder (RoIB) to help reduce the amount of data required for the Level-2 Trigger The Level-1 Calorimeter Trigger System at the test beam consisted of 1 Preprocessor module, 1 Cluster Processor Module, 1 Jet/Energy Module and 2 Common Merger Modules. …”
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    Beam Test of the ATLAS Level-1 Calorimeter Trigger System
  19. 1499
    “…MMF was calculated for several regions of interest (ROIs) with differing FFs using UTE-MT modeling with and without T1 measurement and B1 correction. …”
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    Robust Assessment of Macromolecular Fraction (MMF) in Muscle with Differing Fat Fraction Using Ultrashort Echo Time (UTE) Magnetization Transfer Modeling with Measured T1
  20. 1500
    “…CONCLUSION: Finally, this paper used the risk ROI and key genes of the AD and MCI groups to construct diagnostic models. …”
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    Associating brain imaging phenotypes and genetic risk factors via a hypergraph based netNMF method
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