Writing mammography reports can be error-prone and time-consuming for radiologists. In this paper we propose a method to generate mammography reports given four images, corresponding to the four views used in screening mammography. To the best of our
knowledge our work represents the first attempt to generate the mammography report using deep-learning. We propose an encoder-decoder model that includes an EfficientNet-based encoder and a Transformer-based decoder. We demonstrate that the Transformer-based attention mechanism can combine visual and semantic information to localize salient regions on the input mammograms and generate a visually interpretable report. The conducted experiments, including an evaluation by a certified radiologist, show the effectiveness of the proposed method.
Background and objectives: The advent of high-resolution MRI with a dedicated epilepsy protocol improves the ability to identify possible structural abnormalities that underlie seizure disorders. The aims of this study were to evaluate the diagnostic
efficacy of standard MRI, identify whether there is an increase in the diagnostic yield with the addition of dedicated seizure protocol, and compare the diagnostic yields of MRI and electroencephalogram (EEG) individually and in combination. Subjects and Methods: This was a cross-sectional analytic study, included 100 cases who presented with seizure over 18 months. Patients underwent complete neurological examination, EEG, and MRI with a standard and dedicated epilepsy protocol. Results: We found epileptogenic lesions in MRI in 55.5. Mesial temporal lobe sclerosis was the most common epileptogenic lesion (45.5%). The diagnostic efficacy of MRI had increased with dedicated epilepsy protocol compared to standard protocol. Abnormal MRI and EEG were compatible in 21%. Conclusion and implications: Dedicated epilepsy protocol increased the diagnostic efficacy of brain MRI in detecting a structural epileptogenic lesion, with 100% of mesial temporal sclerosis, the most common lesion in our study, was detected only in dedicated epilepsy protocol and missed in standard protocol.
In this paper, one hundred chest Computed Tomography images of COVID-19 patients were used to build and test Naïve Gaussian Bayes classifier for discriminating normal from abnormal tissues. Infected areas in these images were manually segmented by an
expert radiologist. Pixel grey value, local entropy and Histograms of Oriented Gradients HOG were extracted as features for tissue image classification. Based on five-folds classification experiments, the accuracy score of the classifier in this fold reached around 79.94%. Classification was more precise (85%) in recognizing normal tissue than abnormal tissue (63%). The effectiveness in identifying positive labels was also more evident with normal tissue than the abnormal one.
Aim: to determine the value of RNFL thickness at which visual field defect becomes
detectable.
Methods: Our study included 29 normal subject and 36 glaucomatous patient (one
eye per person) .Every person was examined by OCTOPUS perimetry with glau
coma 30-2
program, and peripapillary RNFL thickness was measured by HIEDELBERGSPECTRALIS
SD_OCT.
Results: comparison of results showed higher sensitivity of OCT compared to
Perimetry. Mean RNFL thickness at which visual field defect showed was 87 microns.
Superior RNFL thickness value which correlated with inferior visual field defect was 101
microns, whereas inferior RNFL thickness value which correlated with superior visual
field defect was 75 microns .and the difference in RNFL thickness between normal and
glaucomatous visual field was significant (p<0.001).
Conclusion: in open-angle glaucoma , it needs significant thinning in RNFL before
visual field defects becomes detectable.
The asymmetric face is common so that increased interest in it .there are different ways to
assess the asymmetry. Computed tomography is an accurate way that enable the examiner for
reading the face at three planes ,and present three-dimensional in
formation on the cranial
mandibular Complex whereas (3D) analysis is essential for making a precise diagnosis of
craniofacial morphology. Aim : This research aims to study the asymmetric at the facial patterns
malocclusion (class I. Class II) using CT . the research sample consists of 48 CT image (male 23
and female 15)their ages ranged between 18 and 35 years old and did not receive any orthodontic
treatment before, and devided into two groups according to the malocclusion ptterns(17 class II, 31
class I ) . Analysis was performed T. student test then calculated for all the data obtained . This
study showed that a significant difference between the class I and class II malocclusion in each of
the right and left.
Objective: This research aimed to evaluate the three-dimensional
effects of a Twin Block (TB) appliance on the pharyngeal airway
passage (PAP) in a sample of Class II patients with mandibular
retrusion using cone-beam computed tomography (CBCT).
The RME force is not only concentrated on widening the maxilla,
it is concomitant changes occur in craniofacial sutures, from here
the need for this study was originated.
Aim of the study: To investigate the immediate effect of rapid
maxillary expansion on the spheno-occipital Synchondrosis in
children using cone beam computed tomography.
Writers, in general, characterized women through different
images. The dominated image in such writings is lustfulness. Dante
uses this image to present three Oriental women: Semiramis,
Cleopatra and Dido.
The asymmetric face is common so that increased interest in it .
there are different ways to assess the asymmetry. Computed
tomography is an accurate way that enable the examiner for reading the
face at three planes ,and present three-dimensional
information on the
cranial mandibular Complex whereas (3D) analysis is essential for
making a precise diagnosis of craniofacial morphology . Aim : This
research aims to study the asymmetric at the facial patterns
malocclusion (class I. Class III) using CT .
Class II malocclusion is a common clinical problem among white Caucasian population and its transverse component is a critical aspect of a functional and stable occlusion. The size and shape of the arches have considerable implications in orthodontic
diagnosis and treatment planning, affecting the space available, dental esthetics, and stability of the dentition. Hence , it is important to study the alveolar arch width in this group of patients using the wide possibilities of cone beam computed tomography of evaluating real anatomy , true-to-scale images without distortions or superimpositions, and the selection of the desired sections.Objective:To evaluate the width of maxillary and mandibular alveolar arches in skelatal Class II adults compared to skeletal class I using cone beam computed tomography. Materials and methods: thirty-two subjects with skeletal Class II relationship and 10 subjects with skeletal Class I who were ordinary undergoing CBCT scan for non-orthodontics nor for otorihnolaryngology purpose were selected to measure the maxillary and mandibular alveolar width of first premolar and first molars.Independent samples’ t-test was calculated. Results:No statistically significant differences were found of alveolar widths between skeletal Class II and Class I subjects in both maxillary and mandibular widths of molar and premolar regions. Gender had no statistically significant effect in the results of the study. Conclusion :There is no differences in alveolar width between adults with skeletal Class II and Class I relationships, so the transverse discrepancy in skeletal Class II when exsists , it is more probably not originated from the alveolar base.
