“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

The PASCAL Visual Object Classes Challenge

International Journal of Computer and Applications

Artificial intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neural networks to variational autoencoders have found myriad applications in the medical image analysis field, propelling it forward at a rapid pace. Historically, in radiology practice, trained physicians visually assessed medical images for the detection, characterization and monitoring of diseases. AI methods excel at automatically recognizing complex patterns in imaging data and providing quantitative, rather than qualitative, assessments of radiographic characteristics. In this Opinion article, we establish a general understanding of AI methods, particularly those pertaining to image-based tasks. We explore how these methods could impact multiple facets of radiology, with a general focus on applications in oncology, and demonstrate ways in which these methods are advancing the field. Finally, we discuss the challenges facing clinical implementation and provide our perspective on how the domain could be advanced.

/pdf/artificial-intelligence-in-radiology-2c2bdk1z41.pdf

Artificial intelligence in radiology

Compare your culture to one of the cultures discussed in this unit. On a sheet of paper, list the cultures you are comparing and make one column titled “similarities,” and a second column titled “differences.” Now, list as many similarities and differences between the two as you can think of. Are there more similarities or differences between the two cultures you selected? Have you ever met anyone from this culture? How can you use this information to build greater respect between cultures?

Similarities and Differences

Magnesium-Based Nanocomposites: An Overview of Applications and Challenges

This paper represents the effect of amplitude modulated ultrasonic standing waves in determining the glucose concentration in dextrose mixed intralipid based tissue phantom. The intralipid exhibits biological tissue related light absorption, reflection, scattering properties. The intralipid act as a suitable substitute medium for tissue related lab based experimentations. The ultrasonic waves were produced here using two sinusoidal waves. Phase of the ultrasonic waves were controllable in nature. The piezoelectric crystal based ultrasonic transmitter and receiver of 40 kHz were used here. The ultrasound produced here causes series of vibrating pattern on the area of its applications. Molecules usually vibrate specifically based on their structural orientations and physical properties. The vibration patterns of glucose molecule were observed here using infrared LED of 940nm. The experimental design and resultant output in Fast Fourier Transform Domain for glucose prediction in dextrose mixed intralipid phantoms had been described and discussed in this paper. This technology can be utilized to design and improve noninvasive blood glucose monitoring devices.

The Utilization of Ultrasonic Standing Waves for Predicting Glucose Concentration Levels in Dextrose Mixed Intralipid Based Tissue Phantom

This study investigated the basic dosimetric properties of a Flattening-filter-free 6-MV photon beam based on the unique performance model of the Varian Clinic 600 linac operated with and without a flattening filter. Dosimetric features, including the central-axis absorbed dose, the beam profiles and the photon and electron fluences were calculated for the flattened and unflattened cases separately by using Monte Carlo simulations. We observe that the dosimetric field size and penumbra were slightly smaller for the unflattened beam, but the beam’s non-flatness is unlikely to present a problem for treatments with small fields. Absolute depth dose calculations showed an increase in the dose rate by a factor of more than 2.4 for the unflattened 6-MV beam which depended on the depth. These results suggest that the removal of the filter could result in higher central-axis dose rates and hence, shorter beam delivery times for treatments. Surface doses were found to be higher for the unflattened beam due to more contamination electrons and low-energy photons being present in the beam. The total scatter factor, SCP, varies less with the field sizes, indicating that removing the filter from the beam line can reduce significantly the amount of head scatter photons and therefore, doses to normal tissues and organs.

Study of the dosimetric properties of an unflattened 6-MV photon beam by using the BEAMnrc code

With the advancement in health and medical field person life expectancy has increased. Thus, in India as
being developing country two-third of population is elderly. With the increase in the life span, chronic
disease plays significant role and the dental diseases are the most prevalent chronic condition. Diagnosis
and treatment planning for the elderly must include considerations of the biological, psychological, social
and economic status of the patient in addition to the obvious dental problems. By breaking down the patient
psychology to its component parts, it is easier to obtain a clear picture of this special cohort of patients.
Considering the increase in number of geriatric edentulous patients, knowledge will help the prosthodontist
serve the geriatric population better. Theoretical approaches are now replaced by practical approach of
patient management. The aim of this article is to provide a review of the psychological factors involved in
the dental treatment and methods to develop a right dental attitude.

Keywords: Geriatric, Mental health, Oral diseases, Prosthodontist.

/pdf/geriatric-psychology-a-prosthodontist-outlook-let-s-read-the-489yj40rs4.pdf

Geriatric psychology: A prosthodontist outlook- Let’s read the mind

Image Registration plays very crucial role in case of medical imaging to register different modalities of images like CT (Computed Tomography) and PET (Positron Emission Tomography) registration. CT is essential for structural information of anatomic and PET (Positron Emission Tomography) is for functional information. Basically it is the procedure of transforming dissimilar sets of data into one coordinate system. These sets of data can be acquired from multiple image modalities, different viewpoints, similar or dissimilar sensors. MI based image registration has been found to be reasonably useful methods of image registration. However, it is found to be quite computationally intensive and time consuming process for enormous size images and for different data sets of images. It involves steps for computation of joint histogram, marginal entropies, calculation and probability distribution. Main motive of this paper is to provide an intelligent method for image registration based on Mutual Information using multi core environment with maintaining the synchronization between different activated cores and processors. Proposed Method has been able to execute with different number of threads to achieve all the remuneration of the processors and gives significant speedup working with verity of images like gray scale, RGB and Dicom images with different size. Finally the designed algorithm has been used to register medical images of different modalities.

/pdf/multithreaded-approach-for-registration-of-medical-images-4jhdi9imd0.pdf

Neeraj Sharma

Papers

Magnesium-Based Nanocomposites: An Overview of Applications and Challenges

The Utilization of Ultrasonic Standing Waves for Predicting Glucose Concentration Levels in Dextrose Mixed Intralipid Based Tissue Phantom

Study of the dosimetric properties of an unflattened 6-MV photon beam by using the BEAMnrc code

Geriatric psychology: A prosthodontist outlook- Let’s read the mind

Multithreaded Approach for Registration of Medical Images using Mutual Information in Multicore Environment and its Applications in Medical Imaging