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DIAGNOSTIC IMAGING EXAM REVIEW QUESTIONS AND ANSWERS At a minimum, 2 images at 90d to each other are necessary to view object in 3 dimensions and avoid missing important details - ANSWER- ABCs - ANSWER-Alignment Bony changes Cartilage spaces Soft tissues Cortical bone- dense, outer layer of bone Trabecular bone- spongy, inner layer that provides cushioning - ANSWER- Radiodensity - ANSWER-A tissue's Radiodensity determines amount of radiation absorbed from x-ray beam Radiogr...

DIAGNOSTIC IMAGING- EXAM 1 QUESTIONS WITH CORRECT ANSWERS What does DICOM stand for? - ANSWER-Digital Imaging and Communications in Medicine What is the advantage of storing digital radiographs in DICOM format? - ANSWER-compatibility, universally accepted by all manufacturers True or false: DICOM images are a part of the medical record - ANSWER-true Larger practices have a networked computer for storage of DICOM images called a ___ system - ANSWER-PACS (Picture Archiving and Communic...

DIAGNOSTIC IMAGING EXAM QUESTIONS WITH VERIFIED ANSWERS What is the difference between a radiologist and a radiographer? - ANSWER-Radiologists: physicians specializing in radiology; many sub-types Radiographers: professional technicians who produce images The use of radiological modalities for treatment of disease (ex. cancer and radiation therapy) - ANSWER-Interventional radiology A conventional radiograph denotes a radiograph made without: - ANSWER-contrast enhancement or other modif...

DIAGNOSTIC IMAGING EXAM REVIEW QUESTIONS WITH COMPLETE SOLUTIONS arthrography - ANSWER-Contrast material injected into joint. May be used with other media such as MRI and CT myelography - ANSWER-Contrast material injected into subarachnoid space to look at spinal cord, nerve roots and dura mater. Also used with CT (CT myelogram) to enhance anatomic detail ALARA as low as reasonably achievable - ANSWER-50's and 60's established - ANSWER-A tissue's Radiodensity determines am...

DIAGNOSTIC IMAGING EXAM UNIT 2 QUESTIONS AND ANSWERS 1. SID: 72" 2. Anatomy: base of occiput - top of T1 - ANSWER-What is the positioning, anatomy when obtaining a lateral cervical view? 1. ALWAYS do first to R/O trauma 2. alignment 3. pre-cervical soft tissue space 4. osteophytes 5. sella turcica - ANSWER-What are the points of interest when obtaining a lateral cervical view? bullet nose vertebrae - ANSWER-What is the shape of a normal vertebrae seen in infants? spinolaminar...

DIAGNOSTIC IMAGING EXAM #3 REVIEW QUESTIONS WITH CORRECT ANSWERS left lateral - ANSWER-Looking at the radiograph of an abdomen, you see that the pyloric antrum and body of the stomach are gas-filled and the axis of the stomach appears vertical. This view is likely a: smaller, the vessels are more elongated, and there is increased distance from the apex of the heart to the sternum - ANSWER-On the thoracic image of a medium-sized dog in either lateral or DV taken during inspiration, the hear...

DIAGNOSTIC IMAGING EXAM #1 QUESTIONS WITH VERIFIED ANSWERS What is the minimum distance in feet that a safelight in the darkroom should be away from the work site? a. 2 b. 3 c. 4 d. 5 - ANSWER-c The main purpose of the x-ray developer is to a. Clear away the unexposed, underdeveloped silver halide crystals b. Convert the exposed silver halide crystals into black metallic silver c. Reduce the unexposed silver halide crystals into black metallic silver d. Swell and soften the emuls...

DATA MINNING EXAM 2 REVIEW PRACTICE QUIZ QUESTIONS AND ANSWERS Cross-validation is used to estimate - Answer-Test error using training data What is the fundamental difference between an artificial neural network (ANN) and a deep neural network (DNN)? - Answer-No. of hidden layers (DNN has more hidden layers, they automate unstructured data) Which of the following is not a significant reason for the recent popularity of neural networks? Neural Networks were developed recently More dat...

DATA MINING TEST STUDY GUIDE QUESTIONS AND ANSWERS consistency - Answer-if the value is consistent with other values or inconsistent believably - Answer-if the values are trustworthy or not, can we trust the data and the data source timeliness - Answer-if the values will be able to process on time or not, updatability interpretability - Answer-if the data easy to understand or not why do we pre-process data - Answer-to reduce redundancy of using same data on the data set to save ...

DATA MINING ASSESSMENT TEST 1 QUESTIONS WITH COMPLETE SOLUTIONS Semi-supervised learning - Answer-A class of machine learning techniques that make use of both labeled and unlabeled examples when learning a model. In one approach, labeled examples are used to learn class models and unlabeled examples are used to refine the boundaries between classes. For a two-class problem, we can think of the set of examples belonging to one class as the positive examples and those belonging to the other cl...

DATA MINING TEST 1 - CHAPTER 1 QUESTIONS AND ANSWERS supervised learning - Answer-is basically a synonym for classification. unsupervised learning - Answer-is essentially a synonym for clustering. semi-supervised learning - Answer-is a class of machine learning techniques that make use of both labelled and unlabelled examples when learning a model. active learning - Answer-is a machine learning approach that lets users play an active role in the learning process. database systems...

DATA MINING TEST # 1 QUESTIONS AND ANSWERS Steps or procedures involved in classification? - Answer-Model construction: description of a set of predetermined classes Each tuple/sample is assumed to belong to a predefined class, as determined by the class label attribute The set of tuples used for model construction is training set The model is represented as classification rules, decision trees, or mathematical formula Model usage: for classifying future or unknown objects Estimate ...

DATA MINING QUIZ QUESTIONS AND ANSWERS If you form a rule set from a decision tree in the simplest manner possible (i.e., there is one rule for every decision tree leaf and each rule conjoins all of the conditions from the root node to the leaf), there very possible example will be covered by a rule (i.e., the ruleset is exhaustive) T/F - Answer-True Nearest neighbour algorithms support which one of the following types of prediction tasks? - Answer-Classification and Regression tasks Wh...

DATA MINING MIDTERM EXAM QUESTIONS AND ANSWERS Concept Hierarchy - Answer-Used for multiple levels of abstraction Non-parametric methods of numerosity data reduction techniques - Answer-Histograms Clustering A Data warehouse differs from an operational database because most data warehouses have a product orientation and tuned to handle transactions that update the database - Answer-False Human inspection is an important an appropriate method to handle noisy data - Answer-False OL...

DATA MINING FINAL EXAM Q&A What constitutes a good cluster? What are our two main goals during clustering? - Answer-A good cluster consists of a) minimized intra-cluster distances, b) maximized inter-cluster distances, c) high intra-cluster similarity, and d) low inter-class similarity. What are the two main clustering methods? Explain the differences between them. - Answer-The two types of clustering are a) partitional and b) hierarchical. There are two main differences between these clus...

DATA MINING FINAL EXAM QUESTIONS AND ANSWERS ANN (Artificial neural Networks)? Execution? - Answer-Attempt to replicate non-linear learning found in nature. Execution: 1. prepare data 2. design network architecture 3. initalize 4. train using back propogationg 5. evaluate What isn SVM (Support Vector Machine)? Execution? - Answer-A versatile algorithm that maximizes the margin between classes by finding the optimal hyperplane suitable for complex classification and regression tasks. ...

DATA MINING FINAL EXAM REVIEW QUESTIONS WITH COMPLETE ANSWERS What is the best method we have learned so far to handle missing data in a data set a. replacing missing data with the mode of an attribute b. Remove the columns containing missing data c. replace all of the missing values with zero d. replace all of the missing values with one - Answer-replacing missing data with the mode of an attribute in the logistic regression method, what should be the minimum confidence leve...

DATA MINING EXAM QUESTIONS AND ANSWERS 2025 A k-nearest neighbour model ___ - Answer-Is one of the models in IBM SPSS Modeler and SAS EM May be referred to as Case Based Reasoning Evaluates on k neighbours One method to possibly reduce the dimensionality of a supervised model is ___ - Answer-To use the 5th dimension To use principal components with eigenvalues > 1 To use principal components with negative eigenvalues One should ___ for clustering - Answer-c &d Clustering...

DATA MINING EXAM REVISION QUESTIONS WITH CORRECT ANSWERS Clustering: Why use CURE? - Answer-Because clustering is expensive Clustering: Does CURE require Euclidean distance? - Answer-Yes, the moving representative point towards centroid part happens in Euclidean space Clustering: Describe BFR - Answer-1) Load in the first batch 2) Run clustering algorithm to find clusters 3) For each cluster, only keep track of it's size, sum of vectors, and sum of squared vectors. These are used t...

DATA MINING PRACTICE EXAM #2 QUESTIONS AND ANSWERS Discretization that happens before learning is... - Answer-...Local Discretization. >>...Global Discretization. ...Normalization. ...Mojang! In 10-fold Cross-Validation how many times will each fold be used as part of the test set? - Answer->>1 10 3 9 Which of the following is the epsilon parameter in DBScan? - Answer-Number of neighbors needed to determine which cluster to be added to. >>Distance a point must b...